Datasets:
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json
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
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License:
id stringlengths 9 67 | category stringclasses 8
values | state unknown | question unknown | target stringlengths 3 73 | target_idx int64 0 9 |
|---|---|---|---|---|---|
qc_adapt_targeted_amplicon_1_48 | qc_read_adaptation | {
"assay": "Targeted Illumina amplicon panel",
"tool": "FastQC",
"read_type": "short_reads_pe250"
} | {
"type": "choice",
"instructions": "How should QC step FastQC be configured given sequencing characteristics: short_reads_pe250?",
"criteria": {
"Keep FastQC": null,
"Swap for NanoPlot": null,
"Drop FastQC": null
}
} | Keep FastQC | 0 |
resource_angsd_realsfs_3 | resource_profiling | {
"process": "ANGSD_REALSFS",
"tool": "angsd/realsfs",
"description": "Estimate site frequency spectrum from site allele frequencies"
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to ANGSD_REALSFS (Estimate site frequency spectrum from site allele frequencies) in conf/base.config?",
"criteria": {
"process_single": null,
"process_low": null,
"process_high": null,
"process_medium": null
}
} | process_single | 0 |
subworkflow_pkg_fasta_consensus_autocycler_2 | subworkflow_packaging | {
"subworkflow": "FASTA_CONSENSUS_AUTOCYCLER",
"modules": [
"autocycler/compress",
"autocycler/cluster",
"autocycler/trim",
"autocycler/resolve",
"autocycler/combine"
],
"description": "Generate consensus assemblies and assembly graphs from grouped contig FASTA files using autocycler"
} | {
"type": "choice",
"instructions": "How should FASTA_CONSENSUS_AUTOCYCLER (autocycler/compress, autocycler/cluster, autocycler/trim, autocycler/resolve, autocycler/combine) be structured in DSL2?",
"criteria": {
"Leave them out": null,
"Local subworkflow FASTA_CONSENSUS_AUTOCYCLER": null,
"Use nf-cor... | Use nf-core subworkflow fasta_consensus_autocycler | 2 |
samplesheet_scrna_10x_0_44 | samplesheet_schema | {
"assay": "Single-cell 10x Genomics 3-prime gene expression",
"first_step": "CELLRANGER",
"inputs": "Cellular barcode FASTQ pairs"
} | {
"type": "choice",
"instructions": "Which columns should the input samplesheet have for: Single-cell 10x Genomics 3-prime gene expression?",
"criteria": {
"sample,barcode,fastq": null,
"sample,features": null,
"sample,bam": null,
"sample,fastq_1": null,
"sample,fastq_1,fastq_2": null
}
} | sample,fastq_1,fastq_2 | 4 |
qc_adapt_ont_nanoplot_0_2 | qc_read_adaptation | {
"assay": "Direct RNA sequencing on Oxford Nanopore PromethION",
"tool": "FastQC",
"read_type": "long_reads_direct_rna"
} | {
"type": "choice",
"instructions": "For Direct RNA sequencing on Oxford Nanopore PromethION, what is the recommended QC default for FastQC?",
"criteria": {
"Drop FastQC": null,
"Keep FastQC": null,
"Swap for NanoPlot": null
}
} | Swap for NanoPlot | 2 |
mod_arriba_download_0 | tool_selection | "In Nextflow DSL2, which module handles: Arriba is a command-line tool for the detection of gene fusions from RNA-Seq data. (tools: arriba)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"parabricks/starfusion": "This tool uses the GPU to perform fusion calling for RNA-Seq samples, utilizing the STAR-Fusion algorithm. Thi",
"igv/js": "igv.js is an embeddab... | arriba/download | 4 |
samplesheet_atacseq_pe_2_45 | samplesheet_schema | {
"assay": "Paired-end ATAC-seq chromatin accessibility",
"first_step": "FASTQC",
"inputs": "Paired-end Tn5 transposed FASTQs"
} | {
"type": "choice",
"instructions": "What samplesheet CSV header schema is expected when inputs are: Paired-end Tn5 transposed FASTQs?",
"criteria": {
"sample,fastq_1": null,
"sample,bam": null,
"sample,fastq_1,fastq_2": null,
"sample,vcf": null,
"sample,bed": null
}
} | sample,fastq_1,fastq_2 | 2 |
mod_vsearch_fastqfilter_0 | tool_selection | "In Nextflow DSL2, which module handles: Performs quality filtering and / or conversion of a FASTQ file to FASTA format. (tools: vsearch)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"sentieon/dnamodelapply": null,
"vsearch/cluster": null,
"vsearch/fastqfilter": null,
"vsearch/sintax": null,
"catpack/summarise": null
}
} | vsearch/fastqfilter | 2 |
mod_gatk4_calculatecontamination_1 | tool_selection | "In Nextflow DSL2, which module handles: Calculates the fraction of reads from cross-sample contamination based on summary tables from getpileupsummaries. Output to be used with filtermutectcalls. (tools: gatk4)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"gatk4_applyvqsr": "Apply a score cutoff to filter variants based on a recalibration table.\nAplyVQSR performs the second pass in a",
"gatk4_calculatecontamination": "Calc... | gatk4_calculatecontamination | 1 |
samplesheet_mag_grouped_2_46 | samplesheet_schema | {
"assay": "Metagenomic MAG assembly with comparative groups",
"first_step": "FASTQC",
"inputs": "template: nf-core/mag"
} | {
"type": "choice",
"instructions": "What samplesheet CSV header schema is expected when inputs are: template: nf-core/mag?",
"criteria": {
"sample,fastq_1,fastq_2,group": null,
"sample,group,short_reads": null,
"sample,fastq_1,fastq_2": null,
"sample,bam": null,
"sample,fastq_1": null
}
} | sample,fastq_1,fastq_2,group | 0 |
resource_basicpy_2 | resource_profiling | {
"process": "BASICPY",
"tool": "basicpy",
"description": "BaSiCPy is a python package for background and shading correction of optical microscopy images. It is developed based on the Matlab version of BaSiC tool with major improvements in the algorithm."
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to BASICPY (BaSiCPy is a python package for background and shading correction of optical mic) in conf/base.config?",
"criteria": {
"process_long": null,
"process_low": null,
"process_single": null,
"process_medium"... | process_single | 2 |
local_subworkflow_checkirma_2_1 | subworkflow_packaging | {
"subworkflow": "CHECKIRMA",
"modules": [
"custom/checkirma"
],
"description": "Custom validation of assembly output"
} | {
"type": "choice",
"instructions": "Determine the DSL2 structure for CHECKIRMA (custom/checkirma).",
"criteria": {
"Leave them out": null,
"Local subworkflow CHECKIRMA": null,
"Use nf-core subworkflow checkirma": null,
"Keep the modules in the main workflow": null
}
} | Local subworkflow CHECKIRMA | 1 |
mod_cnvkit_reference_0 | tool_selection | "In Nextflow DSL2, which module handles: Compile a coverage reference from the given files (normal samples). (tools: cnvkit)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"ilastik/multicut": "Ilastik is a tool that utilizes machine learning algorithms to classify pixels, segment, track and count cells",
"cnvkit/export": "Convert copy number... | cnvkit/reference | 2 |
pipe_all101_oncoanalyser_1 | pipeline_routing | "User query: What is the official nf-core pipeline for cancer analysis? Specific context: A comprehensive cancer DNA/RNA analysis and reporting pipeline. Topics: cancer, clinical, ctdna, dna, exome, longitudinal. " | {
"type": "choice",
"instructions": "Select the optimal nf-core pipeline for this bioinformatic analysis task.",
"criteria": {
"taxprofiler": "Highly parallelised multi-taxonomic profiling of shotgun short- and long-read metagenomic data [classification, illumina",
"oncoanalyser": "A comprehensive cancer ... | oncoanalyser | 1 |
noul_channel_factory_inside_process_body_7 | dsl2_rules | "Is this statement accurate according to standard Nextflow DSL2 behavior? \"Calling `Channel.fromPath()` inside the body of a process is valid Nextflow DSL2.\"" | {
"type": "noul",
"instructions": "Determine whether the Nextflow DSL2 statement or idiom is valid and adheres to standards."
} | false | 0 |
resource_bedtools_unionbedg_2 | resource_profiling | {
"process": "BEDTOOLS_UNIONBEDG",
"tool": "bedtools/unionbedg",
"description": "Combines multiple BedGraph files into a single file"
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to BEDTOOLS_UNIONBEDG (Combines multiple BedGraph files into a single file) in conf/base.config?",
"criteria": {
"process_single": null,
"process_medium": null,
"process_long": null,
"process_high": null
}
} | process_single | 0 |
mod_huggingface_download_0 | tool_selection | "In Nextflow DSL2, which module handles: Download a file from a Hugging Face Hub repository using the `hf` CLI (tools: huggingface_hub)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"blast/updateblastdb": "Downloads a BLAST database from NCBI",
"jvarkit/vcf2table": "Convert VCF to a user friendly table",
"picard/collecthsmetrics": "Collects hybrid... | huggingface/download | 3 |
resource_artic_minion_2 | resource_profiling | {
"process": "ARTIC_MINION",
"tool": "artic/minion",
"description": "Run the alignment/variant-call/consensus logic of the artic pipeline"
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to ARTIC_MINION (Run the alignment/variant-call/consensus logic of the artic pipeline) in conf/base.config?",
"criteria": {
"process_long": null,
"process_single": null,
"process_medium": null,
"process_low": null
... | process_single | 1 |
mod_cooler_merge_1 | tool_selection | "In Nextflow DSL2, which module handles: Merge multiple coolers with identical axes (tools: cooler)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"biobambam_bammerge": null,
"seqkit_seq": null,
"cooler_merge": null,
"fmhfunprofiler": null,
"concoct_extractfastabins": null
}
} | cooler_merge | 2 |
subworkflow_pkg_vcf_annotate_snpeff_0 | subworkflow_packaging | {
"subworkflow": "VCF_ANNOTATE_SNPEFF",
"modules": [
"snpeff",
"snpeff/snpeff",
"htslib/bgziptabix"
],
"description": "Perform annotation with snpEff and bgzip + tabix index the resulting VCF file"
} | {
"type": "choice",
"instructions": "How should VCF_ANNOTATE_SNPEFF (snpeff, snpeff/snpeff, htslib/bgziptabix) be structured in DSL2?",
"criteria": {
"Keep the modules in the main workflow": null,
"Local subworkflow VCF_ANNOTATE_SNPEFF": null,
"Leave them out": null,
"Use nf-core subworkflow vcf_a... | Use nf-core subworkflow vcf_annotate_snpeff | 3 |
samplesheet_ont_pcr_amplicon_2_2 | samplesheet_schema | {
"assay": "Viral amplicon sequencing on Oxford Nanopore (ARTIC)",
"first_step": "NANOPLOT",
"inputs": "Single-end FASTQ reads"
} | {
"type": "choice",
"instructions": "What samplesheet CSV header schema is expected when inputs are: Single-end FASTQ reads?",
"criteria": {
"sample,primer_bed": null,
"sample,bam": null,
"sample,fastq_1,fastq_2": null,
"sample,fastq_1": null,
"sample,vcf": null
}
} | sample,fastq_1 | 3 |
resource_bismark_summary_1 | resource_profiling | {
"process": "BISMARK_SUMMARY",
"tool": "bismark/summary",
"description": "Uses Bismark report files of several samples in a run folder to generate a graphical summary HTML report."
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to BISMARK_SUMMARY (Uses Bismark report files of several samples in a run folder to generate a graph) in conf/base.config?",
"criteria": {
"process_medium": null,
"process_high": null,
"process_low": null,
"process... | process_single | 3 |
samplesheet_chipseq_ctrl_0_55 | samplesheet_schema | {
"assay": "ChIP-seq with antibody and input controls",
"first_step": "TRIMGALORE",
"inputs": "Paired-end FASTQ with controls"
} | {
"type": "choice",
"instructions": "Which columns should the input samplesheet have for: ChIP-seq with antibody and input controls?",
"criteria": {
"sample,vcf": null,
"sample,bam": null,
"sample,fastq_1,antibody": null,
"sample,fastq_1,fastq_2,antibody,control": null,
"sample,fastq_1,fastq_2... | sample,fastq_1,fastq_2,antibody,control | 3 |
resource_artic_guppyplex_4 | resource_profiling | {
"process": "ARTIC_GUPPYPLEX",
"tool": "artic/guppyplex",
"description": "Aggregates fastq files with demultiplexed reads"
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to ARTIC_GUPPYPLEX (Aggregates fastq files with demultiplexed reads) in conf/base.config?",
"criteria": {
"process_medium": null,
"process_single": null,
"process_long": null,
"process_high": null
}
} | process_single | 1 |
mod_fq_lint_0 | tool_selection | "In Nextflow DSL2, which module handles: fq lint is a FASTQ file pair validator. (tools: fq)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"ariba/getref": "Download and prepare database for Ariba analysis",
"vsearch/fastqfilter": "Performs quality filtering and / or conversion of a FASTQ file to FASTA format.... | fq/lint | 4 |
noul_exit_code_137_cause_18 | dsl2_rules | "Is this statement accurate according to standard Nextflow DSL2 behavior? \"An exit code of 137 in a containerized Nextflow task is typically caused by a missing shell command.\"" | {
"type": "noul",
"instructions": "Determine whether the Nextflow DSL2 statement or idiom is valid and adheres to standards.",
"criteria": {
"false": "The statement describes an invalid Nextflow DSL2 syntax, anti-pattern, or deprecated behavior.",
"true": "The statement describes a valid, standard, and re... | false | 0 |
mod_simpleaf_index_1 | tool_selection | "In Nextflow DSL2, which module handles: Indexing of transcriptome for gene expression quantification using SimpleAF (tools: simpleaf)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"mmseqs_createindex": "Creates sequence index for mmseqs database",
"ganon_buildcustom": "Build ganon database using custom reference sequences.",
"hmmer_eslsfetchinde... | simpleaf_index | 4 |
subworkflow_pkg_fastq_align_dedup_bismark_3 | subworkflow_packaging | {
"subworkflow": "FASTQ_ALIGN_DEDUP_BISMARK",
"modules": [
"bismark/align",
"samtools/sort",
"samtools/index",
"bismark/deduplicate",
"bismark/methylationextractor",
"bismark/coverage2cytosine",
"bismark/report",
"bismark/summary"
],
"description": "Align BS-Seq reads to a refere... | {
"type": "choice",
"instructions": "How should FASTQ_ALIGN_DEDUP_BISMARK (bismark/align, samtools/sort, samtools/index, bismark/deduplicate, bismark/methylationextractor, bismark/coverage2cytosine, bismark/report, bismark/summary) be structured in DSL2?",
"criteria": {
"Local subworkflow FASTQ_ALIGN_DEDUP_BI... | Use nf-core subworkflow fastq_align_dedup_bismark | 3 |
noul_named_process_output_emits_3 | dsl2_rules | "Is this statement accurate according to standard Nextflow DSL2 behavior? \"Nextflow DSL2 supports multi-channel emission from processes using named emit blocks: `path '*.bam', emit: bam`.\"" | {
"type": "noul",
"instructions": "Determine whether the Nextflow DSL2 statement or idiom is valid and adheres to standards."
} | true | 1 |
subworkflow_pkg_fastq_align_hisat2_0 | subworkflow_packaging | {
"subworkflow": "FASTQ_ALIGN_HISAT2",
"modules": [
"hisat2/align",
"samtools/stats",
"samtools/idxstats",
"samtools/flagstat",
"bam_sort_stats_samtools"
],
"description": "Align reads to a reference genome using hisat2 then sort with samtools"
} | {
"type": "choice",
"instructions": "How should FASTQ_ALIGN_HISAT2 (hisat2/align, samtools/stats, samtools/idxstats, samtools/flagstat, bam_sort_stats_samtools) be structured in DSL2?",
"criteria": {
"Local subworkflow FASTQ_ALIGN_HISAT2": null,
"Keep the modules in the main workflow": null,
"Use nf-c... | Use nf-core subworkflow fastq_align_hisat2 | 2 |
qc_adapt_pacbio_hifi_2_10 | qc_read_adaptation | {
"assay": "PacBio HiFi circular consensus sequencing (CCS)",
"tool": "FastQC",
"read_type": "long_reads_hifi_15kb"
} | {
"type": "choice",
"instructions": "Evaluate the quality control tool choice for: PacBio HiFi circular consensus sequencing (CCS) (long_reads_hifi_15kb).",
"criteria": {
"Keep FastQC": null,
"Swap for NanoPlot": null,
"Drop FastQC": null
}
} | Swap for NanoPlot | 1 |
resource_arcashla_extract_2 | resource_profiling | {
"process": "ARCASHLA_EXTRACT",
"tool": "arcashla/extract",
"description": "Extracts reads mapped to chromosome 6 and any HLA decoys or chromosome 6 alternates."
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to ARCASHLA_EXTRACT (Extracts reads mapped to chromosome 6 and any HLA decoys or chromosome 6 alterna) in conf/base.config?",
"criteria": {
"process_medium": null,
"process_single": null,
"process_high": null,
"pro... | process_single | 1 |
subworkflow_pkg_bam_variant_calling_sort_freebayes_bcftools_0 | subworkflow_packaging | {
"subworkflow": "BAM_VARIANT_CALLING_SORT_FREEBAYES_BCFTOOLS",
"modules": [
"freebayes",
"bcftools/sort"
],
"description": "Call variants using freebayes, then sort and index"
} | {
"type": "choice",
"instructions": "How should BAM_VARIANT_CALLING_SORT_FREEBAYES_BCFTOOLS (freebayes, bcftools/sort) be structured in DSL2?",
"criteria": {
"Keep the modules in the main workflow": null,
"Use nf-core subworkflow bam_variant_calling_sort_freebayes_bcftools": null,
"Leave them out": nu... | Use nf-core subworkflow bam_variant_calling_sort_freebayes_bcftools | 1 |
mod_hpsuissero_0 | tool_selection | "In Nextflow DSL2, which module handles: Serotype prediction of Haemophilus parasuis assemblies (tools: hpsuissero)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"hpsuissero": "Serotype prediction of Haemophilus parasuis assemblies",
"abricate/summary": "Screen assemblies for antimicrobial resistance against multiple databases",
... | hpsuissero | 0 |
pipe_all101_rnaseq_4 | pipeline_routing | "Which pipeline implements best-practice processing for: RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.. Topics: rna, rna-seq. ?" | {
"type": "choice",
"instructions": "Select the optimal nf-core pipeline for this bioinformatic analysis task.",
"criteria": {
"scrnaseq": "Single-cell RNA-Seq pipeline for barcode-based protocols such as 10x, DropSeq or SmartSeq, offering a variety of aligner",
"viralmetagenome": "A nf-core pipeline for ... | rnaseq | 2 |
intent_ask_question_24 | intent_routing | "Classify this user request: \"How does the .mix() operator differ from .combine() in Nextflow?\"" | {
"type": "choice",
"instructions": "Classify the user intent into one category.",
"criteria": {
"debug_error": "User is reporting a runtime error, exit code (137, 127), task failure, or pipeline crash",
"prepare_data": "User needs help creating a samplesheet, parsing FASTQ/BAM filenames, or staging refer... | ask_question | 3 |
mod_idemux_1 | tool_selection | "In Nextflow DSL2, which module handles: Demultiplex paired-end FASTQ files from QuantSeq-Pool (tools: idemux)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"bases2fastq": "Demultiplex Element Biosciences bases files",
"dshbio_exportsegments": "Export assembly segment sequences in GFA 1.0 format to FASTA format",
"qcat": "... | idemux | 3 |
resource_backsub_4 | resource_profiling | {
"process": "BACKSUB",
"tool": "backsub",
"description": "Pixel-by-pixel channel subtraction tool for multiplexed immunofluorescence data."
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to BACKSUB (Pixel-by-pixel channel subtraction tool for multiplexed immunofluorescence data.) in conf/base.config?",
"criteria": {
"process_single": null,
"process_long": null,
"process_medium": null,
"process_low"... | process_single | 0 |
samplesheet_bam_variant_1_38 | samplesheet_schema | {
"assay": "Pre-aligned BAM variant calling pipeline",
"first_step": "GATK_HAPLOTYPECALLER",
"inputs": "Aligned BAM files"
} | {
"type": "choice",
"instructions": "Define the required samplesheet columns for Pre-aligned BAM variant calling pipeline with entry step GATK_HAPLOTYPECALLER.",
"criteria": {
"sample,bam,bai": null,
"sample,fastq_1": null,
"sample,bam": null,
"sample,vcf": null,
"sample,fastq_1,fastq_2": null... | sample,bam,bai | 0 |
resource_bbmap_bbsplit_2 | resource_profiling | {
"process": "BBMAP_BBSPLIT",
"tool": "bbmap/bbsplit",
"description": "Split sequencing reads by mapping them to multiple references simultaneously"
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to BBMAP_BBSPLIT (Split sequencing reads by mapping them to multiple references simultaneously) in conf/base.config?",
"criteria": {
"process_single": null,
"process_medium": null,
"process_low": null,
"process_lon... | process_single | 0 |
samplesheet_amplicon_16s_2_56 | samplesheet_schema | {
"assay": "Amplicon 16S microbiome profiling",
"first_step": "DADA2",
"inputs": "Paired-end 16S amplicon FASTQs"
} | {
"type": "choice",
"instructions": "What samplesheet CSV header schema is expected when inputs are: Paired-end 16S amplicon FASTQs?",
"criteria": {
"sample,bam": null,
"sample,vcf": null,
"sample,fastq_1,fastq_2": null,
"sample,fastq_1": null,
"sample,fasta": null
}
} | sample,fastq_1,fastq_2 | 2 |
mod_cdhit_cdhitest_1 | tool_selection | "In Nextflow DSL2, which module handles: Cluster nucleotide sequences using sequence similarity (tools: cdhit)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"cdhit_cdhitest": "Cluster nucleotide sequences using sequence similarity",
"galah": "Cluster genome FASTA files by average nucleotide identity",
"paraclu": "Paraclu f... | cdhit_cdhitest | 0 |
samplesheet_chipseq_ctrl_2_64 | samplesheet_schema | {
"assay": "ChIP-seq with antibody and input controls",
"first_step": "TRIMGALORE",
"inputs": "Paired-end FASTQ with controls"
} | {
"type": "choice",
"instructions": "What samplesheet CSV header schema is expected when inputs are: Paired-end FASTQ with controls?",
"criteria": {
"sample,fastq_1,fastq_2": null,
"sample,bam": null,
"sample,fastq_1,antibody": null,
"sample,vcf": null,
"sample,fastq_1,fastq_2,antibody,control... | sample,fastq_1,fastq_2,antibody,control | 4 |
mod_atlas_splitmerge_1 | tool_selection | "In Nextflow DSL2, which module handles: split single end read groups by length and merge paired end reads (tools: atlas)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"bcftools_pluginsplit": "Split VCF by sample, creating single- or multi-sample VCFs.",
"irescue": "Quantification of transposable elements expression in scRNA-seq",
"f... | atlas_splitmerge | 4 |
mod_angsd_dosaf_1 | tool_selection | "In Nextflow DSL2, which module handles: Estimate site allele frequencies from BAM files. (tools: angsd)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"fastx_collapser": "Collapses identical sequences in a FASTQ/A file into a single sequence (while maintaining reads counts)",
"angsd_realsfs": "Estimate site frequency spe... | angsd_dosaf | 3 |
mod_gatk4_annotateintervals_0 | tool_selection | "In Nextflow DSL2, which module handles: Annotates intervals with GC content, mappability, and segmental-duplication content (tools: gatk4)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"faa_seqfu_seqkit": null,
"agat/spfilterbyorfsize": null,
"annotsv/annotsv": null,
"gatk4/annotateintervals": null,
"motus/merge": null
}
} | gatk4/annotateintervals | 3 |
qc_adapt_ont_ultra_long_0_9 | qc_read_adaptation | {
"assay": "Ultra-long Oxford Nanopore genomic DNA reads",
"tool": "FastQC",
"read_type": "long_reads_20kb_plus"
} | {
"type": "choice",
"instructions": "For Ultra-long Oxford Nanopore genomic DNA reads, what is the recommended QC default for FastQC?",
"criteria": {
"Swap for NanoPlot": null,
"Keep FastQC": null,
"Drop FastQC": null
}
} | Swap for NanoPlot | 0 |
resource_angsd_realsfs_4 | resource_profiling | {
"process": "ANGSD_REALSFS",
"tool": "angsd/realsfs",
"description": "Estimate site frequency spectrum from site allele frequencies"
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to ANGSD_REALSFS (Estimate site frequency spectrum from site allele frequencies) in conf/base.config?",
"criteria": {
"process_low": null,
"process_high": null,
"process_long": null,
"process_single": null
}
} | process_single | 3 |
noul_subworkflow_structural_blocks_14 | dsl2_rules | "Is this statement accurate according to standard Nextflow DSL2 behavior? \"Workflows in Nextflow DSL2 define inputs with `take:`, core execution with `main:`, and outputs with `emit:`.\"" | {
"type": "noul",
"instructions": "Determine whether the Nextflow DSL2 statement or idiom is valid and adheres to standards.",
"criteria": {
"false": "The statement describes an invalid Nextflow DSL2 syntax, anti-pattern, or deprecated behavior.",
"true": "The statement describes a valid, standard, and re... | true | 1 |
mod_viralconsensus_0 | tool_selection | "In Nextflow DSL2, which module handles: Fast and memory-efficient viral consensus genome sequence generation from read alignments (tools: viralconsensus)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"mmseqs/createtaxdb": "Adds taxonomy information to an existing MMseqs2 database",
"checkv/updatedatabase": "Construct the database necessary for checkv's quality assessme... | viralconsensus | 4 |
pipe_all101_funcprofiler_5 | pipeline_routing | "I need to run an end-to-end bioinformatics workflow to analyze Read-based functional profiling of microbiome sequencing data. . Which nf-core pipeline should I execute?" | {
"type": "choice",
"instructions": "Select the optimal nf-core pipeline for this bioinformatic analysis task.",
"criteria": {
"raredisease": "Call and score variants from WGS/WES of rare disease patients. [diagnostics, rare-disease, snv]",
"viralintegration": "Analysis pipeline for the identification of ... | funcprofiler | 7 |
mod_sentieon_readwriter_1 | tool_selection | "In Nextflow DSL2, which module handles: Merges BAM files, and/or convert them into cram files. Also, outputs the result of applying the Base Quality Score Recalibration to a file. (tools: sentieon)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"bcftools_merge": "Merge VCF files",
"concoct_extractfastabins": "Creates a FASTA file for each new cluster assigned by CONCOCT",
"sentieon_readwriter": "Merges BAM fi... | sentieon_readwriter | 2 |
mod_tiddit_sv_1 | tool_selection | "In Nextflow DSL2, which module handles: Identify chromosomal rearrangements. (tools: sv)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"tiddit_sv": null,
"minimac4_compressref": null,
"octopusv_correct": null,
"checkm2_predict": null,
"rtgtools_svdecompose": null
}
} | tiddit_sv | 0 |
samplesheet_scrna_10x_0_14 | samplesheet_schema | {
"assay": "Single-cell 10x Genomics 3-prime gene expression",
"first_step": "CELLRANGER",
"inputs": "Cellular barcode FASTQ pairs"
} | {
"type": "choice",
"instructions": "Which columns should the input samplesheet have for: Single-cell 10x Genomics 3-prime gene expression?",
"criteria": {
"sample,fastq_1,fastq_2": null,
"sample,fastq_1": null,
"sample,bam": null,
"sample,features": null,
"sample,barcode,fastq": null
}
} | sample,fastq_1,fastq_2 | 0 |
samplesheet_mag_grouped_0_15 | samplesheet_schema | {
"assay": "Metagenomic MAG assembly with comparative groups",
"first_step": "FASTQC",
"inputs": "template: nf-core/mag"
} | {
"type": "choice",
"instructions": "Which columns should the input samplesheet have for: Metagenomic MAG assembly with comparative groups?",
"criteria": {
"sample,fastq_1,fastq_2,group": null,
"sample,bam": null,
"sample,fastq_1,fastq_2": null,
"sample,fastq_1": null,
"sample,group,short_read... | sample,fastq_1,fastq_2,group | 0 |
mod_nucmer_1 | tool_selection | "In Nextflow DSL2, which module handles: NUCmer is a pipeline for the alignment of multiple closely related nucleotide sequences. (tools: nucmer)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"ampcombi2_parsetables": "A submodule that parses and standardizes the results from various antimicrobial peptide identification tools.",
"ampcombi2_complete": "A submodul... | nucmer | 3 |
mod_parabricks_fq2bam_0 | tool_selection | "In Nextflow DSL2, which module handles: NVIDIA Clara Parabricks GPU-accelerated alignment, sorting, BQSR calculation, and duplicate marking. Note this nf-core module requires files to be copied into the working directory and not symlinked. (tools: parabricks)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"gzrt": "gzrecover is a program that will attempt to extract any readable data out of a gzip file that has been corrupt",
"ampcombi2/cluster": "A submodule that clusters t... | parabricks/fq2bam | 4 |
intent_build_pipeline_18 | intent_routing | "Classify this user request: \"Write a Nextflow DSL2 workflow that takes raw ONT FASTQ files and runs Flye assembly followed by Medaka polishing.\"" | {
"type": "choice",
"instructions": "Classify the user intent into one category.",
"criteria": {
"debug_error": "User is reporting a runtime error, exit code (137, 127), task failure, or pipeline crash",
"prepare_data": "User needs help creating a samplesheet, parsing FASTQ/BAM filenames, or staging refer... | build_pipeline | 3 |
qc_adapt_ont_nanoplot_1_4 | qc_read_adaptation | {
"assay": "Direct RNA sequencing on Oxford Nanopore PromethION",
"tool": "FastQC",
"read_type": "long_reads_direct_rna"
} | {
"type": "choice",
"instructions": "How should QC step FastQC be configured given sequencing characteristics: long_reads_direct_rna?",
"criteria": {
"Swap for NanoPlot": null,
"Keep FastQC": null,
"Drop FastQC": null
}
} | Swap for NanoPlot | 0 |
mod_genometester4_glistmaker_1 | tool_selection | "In Nextflow DSL2, which module handles: Create and count k-mer lists from nucelotide sequences. (tools: genometester4)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"blast_updateblastdb": "Downloads a BLAST database from NCBI",
"hypo": "Assembly polisher using short (and long) reads",
"merqury_hapmers": "A script to generate hap-m... | genometester4_glistmaker | 4 |
noul_channel_factory_inside_process_body_6 | dsl2_rules | "Is this statement accurate according to standard Nextflow DSL2 behavior? \"Calling `Channel.fromPath()` inside the body of a process is valid Nextflow DSL2.\"" | {
"type": "noul",
"instructions": "Determine whether the Nextflow DSL2 statement or idiom is valid and adheres to standards.",
"criteria": {
"false": "The statement describes an invalid Nextflow DSL2 syntax, anti-pattern, or deprecated behavior.",
"true": "The statement describes a valid, standard, and re... | false | 0 |
subworkflow_pkg_vcf_annotate_ensemblvep_snpeff_3 | subworkflow_packaging | {
"subworkflow": "VCF_ANNOTATE_ENSEMBLVEP_SNPEFF",
"modules": [
"ensemblvep/download",
"ensemblvep/vep",
"snpeff/download",
"snpeff/snpeff",
"htslib/bgziptabix",
"bcftools/pluginscatter",
"bcftools/concat",
"bcftools/sort"
],
"description": "Perform annotation with ensemblvep and... | {
"type": "choice",
"instructions": "How should VCF_ANNOTATE_ENSEMBLVEP_SNPEFF (ensemblvep/download, ensemblvep/vep, snpeff/download, snpeff/snpeff, htslib/bgziptabix, bcftools/pluginscatter, bcftools/concat, bcftools/sort) be structured in DSL2?",
"criteria": {
"Leave them out": null,
"Local subworkflow ... | Use nf-core subworkflow vcf_annotate_ensemblvep_snpeff | 2 |
pipe_all101_nascent_0 | pipeline_routing | "I need to run an end-to-end bioinformatics workflow to analyze Nascent Transcription Processing Pipeline. Topics: gro-seq, nascent, pro-seq, rna, transcription, tss. . Which nf-core pipeline should I execute?" | {
"type": "choice",
"instructions": "Select the optimal nf-core pipeline for this bioinformatic analysis task.",
"criteria": {
"marsseq": null,
"variantbenchmarking": null,
"viralrecon": null,
"reportho": null,
"nascent": null,
"nanoseq": null,
"multiplesequencealign": null,
"pixel... | nascent | 4 |
qc_adapt_singlecell_multiqc_0_40 | qc_read_adaptation | {
"assay": "Multi-sample single-cell RNA-seq cohort",
"tool": "MultiQC",
"read_type": "summary_reporting"
} | {
"type": "choice",
"instructions": "For Multi-sample single-cell RNA-seq cohort, what is the recommended QC default for MultiQC?",
"criteria": {
"Keep FastQC": null,
"Drop MultiQC": null,
"Keep MultiQC": null
}
} | Keep MultiQC | 2 |
subworkflow_pkg_bam_dedup_umi_0 | subworkflow_packaging | {
"subworkflow": "BAM_DEDUP_UMI",
"modules": [
"umitools/prepareforrsem",
"samtools/sort",
"bam_dedup_stats_samtools_umicollapse",
"bam_dedup_stats_samtools_umitools",
"bam_sort_stats_samtools"
],
"description": "BAM deduplication with UMI processing for both genome and transcriptome alignme... | {
"type": "choice",
"instructions": "How should BAM_DEDUP_UMI (umitools/prepareforrsem, samtools/sort, bam_dedup_stats_samtools_umicollapse, bam_dedup_stats_samtools_umitools, bam_sort_stats_samtools) be structured in DSL2?",
"criteria": {
"Leave them out": null,
"Local subworkflow BAM_DEDUP_UMI": null,
... | Use nf-core subworkflow bam_dedup_umi | 2 |
mod_apbs_0 | tool_selection | "In Nextflow DSL2, which module handles: Compute biomolecular electrostatics by solving the Poisson-Boltzmann equation\nusing APBS (Adaptive Poisson-Boltzmann Solver). Produces electrostatic potential\nmaps and solvation energy values for large biomolecular assemblages. (tools: apbs)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"gemmi/cif2json": "Convert macromolecular structure files from mmCIF format to JSON format using gemmi.",
"bacphlip": "A bacteriophage lifestyle prediction tool",
"vco... | apbs | 3 |
mod_pureclip_1 | tool_selection | "In Nextflow DSL2, which module handles: PureCLIP is a tool to detect protein-RNA interaction footprints from single-nucleotide CLIP-seq data, such as iCLIP and eCLIP. (tools: pureclip)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"clippy": "Runs the Clippy CLIP peak caller",
"pureclip": "PureCLIP is a tool to detect protein-RNA interaction footprints from single-nucleotide CLIP-seq data, such as ",... | pureclip | 1 |
samplesheet_bam_variant_1_59 | samplesheet_schema | {
"assay": "Pre-aligned BAM variant calling pipeline",
"first_step": "GATK_HAPLOTYPECALLER",
"inputs": "Aligned BAM files"
} | {
"type": "choice",
"instructions": "Define the required samplesheet columns for Pre-aligned BAM variant calling pipeline with entry step GATK_HAPLOTYPECALLER.",
"criteria": {
"sample,fastq_1,fastq_2": null,
"sample,vcf": null,
"sample,bam,bai": null,
"sample,fastq_1": null,
"sample,bam": null... | sample,bam,bai | 2 |
mod_annotsv_installannotations_1 | tool_selection | "In Nextflow DSL2, which module handles: Install the AnnotSV annotations (tools: annotsv)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"paragraph_vcf2paragraph": "Convert a VCF file to a JSON graph",
"bakta_bakta": "Annotation of bacterial genomes (isolates, MAGs) and plasmids",
"annosine": "Accelerat... | annotsv_installannotations | 3 |
mod_fgbio_callmolecularconsensusreads_1 | tool_selection | "In Nextflow DSL2, which module handles: Calls consensus sequences from reads with the same unique molecular tag. (tools: fgbio)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"fgumi_downsample": null,
"ganon_buildcustom": null,
"elprep_merge": null,
"fgumi_dedup": null,
"fgbio_callmolecularconsensusreads": null
}
} | fgbio_callmolecularconsensusreads | 4 |
mod_samtools_calmd_1 | tool_selection | "In Nextflow DSL2, which module handles: calculates MD and NM tags (tools: samtoolscalmd)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"atlas_splitmerge": null,
"controlfreec_freec2circos": null,
"abra2": null,
"samtools_calmd": null,
"blast_blastdbcmd": null
}
} | samtools_calmd | 3 |
resource_ampcombi2_complete_0 | resource_profiling | {
"process": "AMPCOMBI2_COMPLETE",
"tool": "ampcombi2/complete",
"description": "A submodule that merges all output summary tables from ampcombi/parsetables in one summary file."
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to AMPCOMBI2_COMPLETE (A submodule that merges all output summary tables from ampcombi/parsetables in o) in conf/base.config?",
"criteria": {
"process_medium": null,
"process_low": null,
"process_long": null,
"proc... | process_single | 3 |
mod_regenie_step2_0 | tool_selection | "In Nextflow DSL2, which module handles: Run REGENIE step 2 association testing from precomputed step 1 predictions (tools: regenie)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"longstitch": "\"A genome assembly correction and scaffolding pipeline using long reads, consisting of up to three steps:\n - ",
"regenie/step1": "Run REGENIE step 1 to f... | regenie/step2 | 3 |
pipe_all101_cageseq_0 | pipeline_routing | "I need to run an end-to-end bioinformatics workflow to analyze CAGE-sequencing analysis pipeline with trimming, alignment and counting of CAGE tags.. Topics: cage, cage-seq, cageseq-data, gene-expression, rna. . Which nf-core pipeline should I execute?" | {
"type": "choice",
"instructions": "Select the optimal nf-core pipeline for this bioinformatic analysis task.",
"criteria": {
"riboseq": null,
"rnaseq": null,
"demo": null,
"cageseq": null,
"slamseq": null,
"nanoseq": null,
"bacass": null,
"pangenome": null
}
} | cageseq | 3 |
intent_ask_question_0 | intent_routing | "Classify this user request: \"How does the .mix() operator differ from .combine() in Nextflow?\"" | {
"type": "choice",
"instructions": "Classify the user intent into one category.",
"criteria": {
"ask_question": "User is asking for an explanation, conceptual difference, documentation, or Nextflow syntax rules",
"prepare_data": "User needs help creating a samplesheet, parsing FASTQ/BAM filenames, or sta... | ask_question | 0 |
mod_gtdbtk_classifywf_0 | tool_selection | "In Nextflow DSL2, which module handles: GTDB-Tk is a software toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes based on the Genome Database Taxonomy GTDB. (tools: gtdbtk)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"gatk4/getpileupsummaries": "Summarizes counts of reads that support reference, alternate and other alleles for given sites. Results can be",
"popscle/dscpileup": "Softwar... | gtdbtk/classifywf | 2 |
subworkflow_pkg_fasta_index_bismark_bwameth_2 | subworkflow_packaging | {
"subworkflow": "FASTA_INDEX_BISMARK_BWAMETH",
"modules": [
"untar",
"gunzip",
"bismark/genomepreparation",
"bwameth/index",
"samtools/faidx"
],
"description": "Generate index files from reference fasta for bismark and bwameth"
} | {
"type": "choice",
"instructions": "How should FASTA_INDEX_BISMARK_BWAMETH (untar, gunzip, bismark/genomepreparation, bwameth/index, samtools/faidx) be structured in DSL2?",
"criteria": {
"Use nf-core subworkflow fasta_index_bismark_bwameth": null,
"Local subworkflow FASTA_INDEX_BISMARK_BWAMETH": null,
... | Use nf-core subworkflow fasta_index_bismark_bwameth | 0 |
noul_dynamic_resource_allocation_1 | dsl2_rules | "Is this statement accurate according to standard Nextflow DSL2 behavior? \"Process directive `cpus { check_max( 4 * task.attempt, 'cpus' ) }` allows dynamic resource scaling on task retry.\"" | {
"type": "noul",
"instructions": "Determine whether the Nextflow DSL2 statement or idiom is valid and adheres to standards."
} | true | 1 |
mod_khmer_normalizebymedian_0 | tool_selection | "In Nextflow DSL2, which module handles: Module that calls normalize-by-median.py from khmer. The module can take a mix of paired end (interleaved) and single end reads. If both types are provided, only a single file with single ends is possible. (tools: khmer)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"seq2hla": "Precision HLA typing and expression from RNA-seq data using seq2HLA",
"khmer/trimlowabund": "Removes low abundance k-mers from FASTA/FASTQ files",
"khmer/n... | khmer/normalizebymedian | 2 |
mod_repeatmodeler_repeatmodeler_1 | tool_selection | "In Nextflow DSL2, which module handles: Performs de novo transposable element (TE) family identification with RepeatModeler (tools: repeatmodeler)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"repeatmodeler_repeatmodeler": "Performs de novo transposable element (TE) family identification with RepeatModeler",
"topas_gencons": "Create fasta consensus with TOPAS t... | repeatmodeler_repeatmodeler | 0 |
mod_expansionhunter_1 | tool_selection | "In Nextflow DSL2, which module handles: Estimate repeat sizes using NGS data (tools: expansionhunter)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"expansionhunter": "Estimate repeat sizes using NGS data",
"gatk4_indexfeaturefile": "Creates an index for a feature file, e.g. VCF or BED file.",
"hipstr": "Genotype ... | expansionhunter | 0 |
mod_bamutil_trimbam_0 | tool_selection | "In Nextflow DSL2, which module handles: trims the end of reads in a SAM/BAM file, changing read ends to βNβ and quality to β!β, or by soft clipping (tools: bamutil)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"fgumi/duplexmetrics": "Collects a suite of metrics to QC duplex sequencing data",
"bamclipper": "This module is used to clip primer sequences from your alignments.",
... | bamutil/trimbam | 2 |
core_tool_cellranger_described_0 | tool_selection | "Which bioinformatics tool or module is best suited for this task? Demultiplexing, barcode processing, alignment, and UMI counting for 10x Genomics single-cell RNA-seq libraries." | {
"type": "choice",
"instructions": "Select the appropriate bioinformatics tool or module for the specified task.",
"criteria": {
"starsolo": "STAR single-cell mode",
"seurat": "R analysis package",
"kallisto_bustools": "Single-cell quantifier",
"alevin": "Salmon single-cell",
"cellranger": "S... | cellranger | 4 |
mod_modkit_repair_0 | tool_selection | "In Nextflow DSL2, which module handles: Repair the MM/ML tags on trimmed or hard-clipped ONT reads using untrimmed ONT reads. (tools: modkit)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"bismark/report": null,
"bwamem3/mem": null,
"mmseqs/createtaxdb": null,
"bismark/align": null,
"modkit/repair": null
}
} | modkit/repair | 4 |
mod_amulety_translate_1 | tool_selection | "In Nextflow DSL2, which module handles: A module to translate BCR and TCR nucleotide sequences into amino acid sequences using amulety and igblast. (tools: amulety)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"amulety_antiberta2": "A module to create antiberta2 embeddings of antibody (BCR) amino acid sequences using amulety.",
"gridss_generateponbedpe": "GRIDSS is a module soft... | amulety_translate | 3 |
resource_binette_2 | resource_profiling | {
"process": "BINETTE",
"tool": "binette",
"description": "A fast and accurate binning refinement tool to construct high quality MAGs from the output of multiple binning tools."
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to BINETTE (A fast and accurate binning refinement tool to construct high quality MAGs from ) in conf/base.config?",
"criteria": {
"process_low": null,
"process_high": null,
"process_medium": null,
"process_single"... | process_single | 3 |
mod_ucsc_bigwigaverageoverbed_0 | tool_selection | "In Nextflow DSL2, which module handles: compute average score of bigwig over bed file (tools: ucsc)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"ucsc/bigwigaverageoverbed": "compute average score of bigwig over bed file",
"deeptools/bigwigcompare": "Compare two bigWig files based on the number of mapped reads",
... | ucsc/bigwigaverageoverbed | 0 |
mod_gatk4spark_markduplicates_1 | tool_selection | "In Nextflow DSL2, which module handles: This tool locates and tags duplicate reads in a BAM or SAM file, where duplicate reads are defined as originating from a single fragment of DNA. (tools: gatk4)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"gatk4spark_markduplicates": "This tool locates and tags duplicate reads in a BAM or SAM file, where duplicate reads are defined as originat",
"atlas_splitmerge": "split s... | gatk4spark_markduplicates | 0 |
pipe_all101_dualrnaseq_3 | pipeline_routing | "Recommend the most appropriate nf-core workflow for the following project: Analysis of Dual RNA-seq data - an experimental method for interrogating host-pathogen interactions through simultaneous RNA-seq.. Topics: dualrna-seq, host-pathogen, quantification, readmapping, rna-seq. " | {
"type": "choice",
"instructions": "Select the optimal nf-core pipeline for this bioinformatic analysis task.",
"criteria": {
"magmap": null,
"proteinannotator": null,
"dualrnaseq": null,
"scnanoseq": null,
"rnasplice": null,
"cageseq": null,
"metapep": null,
"smrnaseq": null,
... | dualrnaseq | 2 |
subworkflow_pkg_bam_cnv_wisecondorx_3 | subworkflow_packaging | {
"subworkflow": "BAM_CNV_WISECONDORX",
"modules": [
"wisecondorx/convert",
"wisecondorx/predict"
],
"description": "A subworkflow for calling CNVs using WisecondorX"
} | {
"type": "choice",
"instructions": "How should BAM_CNV_WISECONDORX (wisecondorx/convert, wisecondorx/predict) be structured in DSL2?",
"criteria": {
"Local subworkflow BAM_CNV_WISECONDORX": null,
"Keep the modules in the main workflow": null,
"Use nf-core subworkflow bam_cnv_wisecondorx": null,
"... | Use nf-core subworkflow bam_cnv_wisecondorx | 2 |
mod_localcdsearch_download_0 | tool_selection | "In Nextflow DSL2, which module handles: A command-line tool for downloading databases for local protein domain annotation using NCBI's Conserved Domain Database (CDD) (tools: localcdsearch)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"paragraph/vcf2paragraph": "Convert a VCF file to a JSON graph",
"localcdsearch/annotate": "A command-line tool for local protein domain annotation using NCBI's Conserved ... | localcdsearch/download | 3 |
samplesheet_scrna_10x_2_25 | samplesheet_schema | {
"assay": "Single-cell 10x Genomics 3-prime gene expression",
"first_step": "CELLRANGER",
"inputs": "Cellular barcode FASTQ pairs"
} | {
"type": "choice",
"instructions": "What samplesheet CSV header schema is expected when inputs are: Cellular barcode FASTQ pairs?",
"criteria": {
"sample,fastq_1,fastq_2": null,
"sample,barcode,fastq": null,
"sample,bam": null,
"sample,features": null,
"sample,fastq_1": null
}
} | sample,fastq_1,fastq_2 | 0 |
mod_cmaple_0 | tool_selection | "In Nextflow DSL2, which module handles: Efficient phylogenetic tree reconstruction for sequences using the CMAPLE algorithm (tools: cmaple)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"epang/place": "phylogenetic placement of query sequences in a reference tree",
"cafe": "Analysis of gene family evolution",
"cmaple": "Efficient phylogenetic tree rec... | cmaple | 2 |
mod_hmmer_hmmalign_0 | tool_selection | "In Nextflow DSL2, which module handles: hmmalign from the HMMER suite aligns a number of sequences to an HMM profile (tools: hmmer)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"hmmer/hmmalign": null,
"gappa/examineheattree": null,
"alignoth": null,
"busco/phylogenomics": null,
"coverm/contig": null
}
} | hmmer/hmmalign | 0 |
samplesheet_atacseq_pe_1_59 | samplesheet_schema | {
"assay": "Paired-end ATAC-seq chromatin accessibility",
"first_step": "FASTQC",
"inputs": "Paired-end Tn5 transposed FASTQs"
} | {
"type": "choice",
"instructions": "Define the required samplesheet columns for Paired-end ATAC-seq chromatin accessibility with entry step FASTQC.",
"criteria": {
"sample,fastq_1,fastq_2": null,
"sample,bed": null,
"sample,bam": null,
"sample,fastq_1": null,
"sample,vcf": null
}
} | sample,fastq_1,fastq_2 | 0 |
resource_agat_convertbed2gff_4 | resource_profiling | {
"process": "AGAT_CONVERTBED2GFF",
"tool": "agat/convertbed2gff",
"description": "Takes a bed12 file and converts to a GFF3 file"
} | {
"type": "choice",
"instructions": "What resource profile label should be assigned to AGAT_CONVERTBED2GFF (Takes a bed12 file and converts to a GFF3 file) in conf/base.config?",
"criteria": {
"process_high": null,
"process_low": null,
"process_single": null,
"process_medium": null
}
} | process_single | 2 |
mod_shigatyper_0 | tool_selection | "In Nextflow DSL2, which module handles: Determine Shigella serotype from Illumina or Oxford Nanopore reads (tools: shigatyper)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"shigatyper": "Determine Shigella serotype from Illumina or Oxford Nanopore reads",
"fastq_align_chromap": "Align high throughput chromatin profiles using Chromap, updatin... | shigatyper | 0 |
mod_odgi_draw_0 | tool_selection | "In Nextflow DSL2, which module handles: Draw previously-determined 2D layouts of the graph with diverse annotations. (tools: odgi)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"odgi/draw": null,
"odgi/layout": null,
"odgi/unchop": null,
"tiff_segmentation_vpt": null,
"lofreq/viterbi": null
}
} | odgi/draw | 0 |
mod_rnaquast_0 | tool_selection | "In Nextflow DSL2, which module handles: Assess the quality of an RNAseq assembly with or without a reference genome (tools: rnaquast)?" | {
"type": "choice",
"instructions": "Select the appropriate nf-core module for the specified bioinformatics operation.",
"criteria": {
"gem2/gem2bedmappability": "Convert a mappability file to bedgraph format",
"bam_ngscheckmate": "Take a set of bam files and run NGSCheckMate to determine whether samples ... | rnaquast | 3 |
samplesheet_ont_single_1_1 | samplesheet_schema | {
"assay": "Single-end Oxford Nanopore direct RNA",
"first_step": "NANOPLOT",
"inputs": "Single fastq per sample"
} | {
"type": "choice",
"instructions": "Define the required samplesheet columns for Single-end Oxford Nanopore direct RNA with entry step NANOPLOT.",
"criteria": {
"sample,fastq_1": null,
"sample,fasta": null,
"sample,fastq_1,fastq_2": null,
"sample,bam": null,
"sample,vcf": null
}
} | sample,fastq_1 | 0 |
End of preview. Expand in Data Studio
nf-core & Nextflow Laya Decision Dataset (nfcore-laya-decisions-v3)
A standardized, multi-task decision-layer dataset for training Laya (System-1 Decision Engines) and fast autonomous agents across Nextflow DSL2 and the complete nf-core bioinformatics ecosystem.
π Dataset Summary
- Total Decision Records: 11,654 records across 8 core architectural pillars:
- QC Read Adaptation (1,500 records): Illumina NovaSeq/NextSeq, PacBio HiFi CCS, Oxford Nanopore Direct RNA/DNA quality control adaptation and tool swapping.
- Resource Profiling & Directives (1,500 records): Process memory, CPU, time, and dynamic retry/error-strategy directive rules across genome-scale tools.
- Subworkflow Packaging (622 records): Determining when to bundle multi-process tasks into local subworkflows or reuse official nf-core subworkflows.
- Samplesheet Schema & Header Inference (1,950 records): JSON Schema draft-07 type, format, pattern, and enum constraints for bioinformatics samplesheets.
- Tool & Module Selection (4,426 records): Spans 2,153 nf-core modules and subworkflows with mined hard-negative distractors.
- DSL2 Syntax & Rules Check (800 records): Balanced binary
nouldecisions evaluating idiomatic DSL2 patterns vs anti-patterns. - nf-core Pipeline Routing (656 records): Matching biological assay requirements to official nf-core workflows.
- Intent Routing (200 records): Disambiguating compilation, remediation, parameter tuning, and execution commands.
ποΈ Split Information
| Split | Records | Percentage | File Path |
|---|---|---|---|
| Train | 9,324 | 80.0% | data/train.jsonl |
| Validation | 1,165 | 10.0% | data/validation.jsonl |
| Test | 1,165 | 10.0% | data/test.jsonl |
| Total | 11,654 | 100.0% |
π Data Schema
Each line in data/*.jsonl is formatted for direct consumption by Laya agents and Hugging Face datasets:
{
"id": "qc_adapt_ont_nanoplot_1_34",
"category": "qc_read_adaptation",
"state": {
"assay": "Direct RNA sequencing on Oxford Nanopore PromethION",
"tool": "FastQC",
"read_type": "long_reads_direct_rna"
},
"question": {
"type": "choice",
"instructions": "How should QC step FastQC be configured given sequencing characteristics: long_reads_direct_rna?",
"criteria": {
"Keep FastQC": null,
"Drop FastQC": null,
"Swap for NanoPlot": null
}
},
"target": "Swap for NanoPlot",
"target_idx": 2
}
π Quickstart
Load via Hugging Face datasets
from datasets import load_dataset
dataset = load_dataset("Primeomicx/nfcore-laya-decisions")
print(dataset)
π€ Trained Model
The fine-tuned model checkpoint trained on this dataset is available at: π Primeomicx/laya-nextflow-nfcore
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