yusuke1997/dblp-id-title huggingface dataset:
Genome-Wide Analysis of MDR and XDR Tuberculosis from Belarus: Machine-Learning Approach
A Genetic Optimization Approach for Isolating Translational Efficiency Bias
Arche: An Advanced Flexible Tool for High-Throughput Annotation of Functions on Microbial Contigs
Evaluating Protein Similarity from Coarse Structures
Graphical Models of Residue Coupling in Protein Families
Latent Feature Decompositions for Integrative Analysis of Multi-Platform Genomic Data
Asymptotic Properties of the Number of Matching Coalescent Histories for Caterpillar-Like Families of Species Trees
DORMAN: Database of Reconstructed MetAbolic Networks
Fast de Bruijn Graph Compaction in Distributed Memory Environments
Few-Shot Breast Cancer Metastases Classification via Unsupervised Cell Ranking
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network
Unsupervised Learning Framework With Multidimensional Scaling in Predicting Epithelial-Mesenchymal Transitions
An Integrated Framework for Identifying Mutated Driver Pathway and Cancer Progression
A Survey on Methods for Modeling and Analyzing Integrated Biological Networks
Antibody-Specified B-Cell Epitope Prediction in Line with the Principle of Context-Awareness
High-Throughput Screening and Quantum Mechanics for Identifying Potent Inhibitors Against Mac1 Domain of SARS-CoV-2 Nsp3
DTL-RnB: Algorithms and Tools for Summarizing the Space of DTL Reconciliations
Evaluation of Design Strategies for Time Course Experiments in Genetic Networks: Case Study of the XlnR Regulon in Aspergillus niger
Advanced Machine Learning Techniques for Bioinformatics
IPED2: Inheritance Path Based Pedigree Reconstruction Algorithm for Complicated Pedigrees
ResSeq: Enhancing Short-Read Sequencing Alignment By Rescuing Error-Containing Reads
An Integrated Approach to Sequence-Independent Local Alignment of Protein Binding Sites
Data Mining in Bioinformatics: Selected Papers from BIOKDD
Testing Multispecies Coalescent Simulators Using Summary Statistics
A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction
Detection and Recognition for Life State of Cell Cancer Using Two-Stage Cascade CNNs
DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model
SEFP: Structure-Based Enzyme Function Prediction
Inferential Clustering Approach for Microarray Experiments with Replicated Measurements
A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network
Moment-Based Parameter Estimation for Stochastic Reaction Networks in Equilibrium
Guest Editors' Introduction: Selected Papers from ACM-BCB 2013
Efficient Algorithms for Knowledge-Enhanced Supertree and Supermatrix Phylogenetic Problems
ENISI SDE: A New Web-Based Tool for Modeling Stochastic Processes
Multiscale Denoising of Biological Data: A Comparative Analysis
A Graphic Encoding Method for Quantitative Classification of Protein Structure and Representation of Conformational Changes
A Reaction-Based Model of the State Space of Chemical Reaction Systems Enables Efficient Simulations
Complexity and Algorithms for Finding a Perfect Phylogeny from Mixed Tumor Samples
dwMLCS: An Efficient MLCS Algorithm Based on Dynamic and Weighted Directed Acyclic Graph
Defining and Computing Optimum RMSD for Gapped and Weighted Multiple-Structure Alignment
Improvement to GLASS/Maximum Tree Method of Species Tree Inference Using Measurement Error Modified Single Linkage Clustering
Identifying Key Genes of Liver Cancer by Networking of Multiple Data Sets
MTGCL: Multi-Task Graph Contrastive Learning for Identifying Cancer Driver Genes From Multi-Omics Data
Q-S Synchronization of Biological Chaotic Circuits Based on DNA Strand Displacement and its Application in Biological Information Secure Communication
Cophylogenetic Reconciliation with ILP
A Graph-Theoretical Approach to the Selection of the Minimum Tiling Path from a Physical Map
The Impact of Self-Loops on Boolean Networks Attractor Landscape and Implications for Cell Differentiation Modelling
A Sparse Regulatory Network of Copy-Number Driven Gene Expression Reveals Putative Breast Cancer Oncogenes
A Survey of Preprocessing Techniques for Flow Cytometry Data in Classification Tasks
Optimizing Analytical Depth and Cost Efficiency of IEF-LC/MS Proteomics
Classifying the Progression of Ductal Carcinoma from Single-Cell Sampled Data via Integer Linear Programming: A Case Study
Parameter Estimation Using Metaheuristics in Systems Biology: A Comprehensive Review
A Parallelizable Model for Analyzing Cancer Tissue Heterogeneity
An Efficient Exact Algorithm for the Motif Stem Search Problem over Large Alphabets
Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization
RedCDR: Dual Relation Distillation for Cancer Drug Response Prediction
A Construction Method of Dynamic Protein Interaction Networks by Using Relevant Features of Gene Expression Data
FSKansformer: An ncRNA-Protein Interaction Prediction Model Based on Feature Salience and Kansformer
MDSGCN: Predicting Multiple Types of Mutation-Drug Association Through Signed Graph Convolution Network
A Novel Heuristic for Local Multiple Alignment of Interspersed DNA Repeats
Ribosome Flow Model on a Ring
Unfold High-Dimensional Clouds for Exhaustive Gating of Flow Cytometry Data
ProtDet-CCH: Protein Remote Homology Detection by Combining Long Short-Term Memory and Ranking Methods
Analyzing Large-Scale Single-Cell RNA-Seq Data Using Coreset
Prediction of DNA-Binding Residues in Local Segments of Protein Sequences with Fuzzy Cognitive Maps
A Granularity-Related Network Refinement Method Based on Module Division and Biological Information for Identifying Essential Proteins
Identifying Drug Resistant miRNAs Using Entropy Based Ranking
Classification of GPCRs Using Family Specific Motifs
Inferring Gene-Species Assignments in the Presence of Horizontal Gene Transfer
Revisiting Parameter Estimation in Biological Networks: Influence of Symmetries
Synchronization of Asynchronous Switched Boolean Network
Subgroup Identification Using Virtual Twins for Human Microbiome Studies
Data-Dependent Kernel Machines for Microarray Data Classification
SPP-CPI: Predicting Compound-Protein Interactions Based On Neural Networks
Learning Universal Knowledge Graph Embedding for Predicting Biomedical Pairwise Interactions
LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization
Markov Encoding for Detecting Signals in Genomic Sequences
MicroRNA Based Feedforward Control of Intrinsic Gene Expression Noise
Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks
A Novel Method to Select Informative SNPs and Their Application in Genetic Association Studies
PseU-KeMRF: A Novel Method for Identifying RNA Pseudouridine Sites
Molecular Joint Representation Learning via Multi-Modal Information of SMILES and Graphs
Solving the Problem of Trans-Genomic Query with Alignment Tables
Improving Biomedical ReQA With Consistent NLI-Transfer and Post-Whitening
The Impact of Normalization and Phylogenetic Information on Estimating the Distance for Metagenomes
A Note on the Fixed Parameter Tractability of the Gene-Duplication Problem
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis
Identifying Differentially Expressed Genes in RNA Sequencing Data With Small Labelled Samples
A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate Control
High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks
Integrated CNN and Federated Learning for COVID-19 Detection on Chest X-Ray Images
Simulating the Large-Scale Erosion of Genomic Privacy Over Time
A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis
Drug-Target Interaction Prediction Using Multi-Head Self-Attention and Graph Attention Network
The GA and the GWAS: Using Genetic Algorithms to Search for Multilocus Associations
scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis
Deep Convolutional and Recurrent Neural Networks for Cell Motility Discrimination and Prediction
Pure Multiple RNA Secondary Structure Alignments: A Progressive Profile Approach
Disturbance Observer-Based Adaptive Synchronization of Heterogeneous Chaotic Systems With Uncertainties via DNA Strand Displacement
Adjacent Y-Ion Ratio Distributions and Its Application in Peptide Sequencing
Reviving the Two-State Markov Chain Approach
A Novel Multi-Scale Graph Neural Network for Metabolic Pathway Prediction
Investigating Topic Models' Capabilities in Expression Microarray Data Classification
Dimensionality Reduction-Based Analysis of the Molecular Dynamics of G Protein-Coupled Receptors
Improved Fixed-Parameter Algorithm for the Tree Containment Problem on Unrooted Phylogenetic Network
Protein Loop Modeling Using AlphaFold2
Compression of Annotated Nucleotide Sequences
Identify Critical Genes in Development with Consistent H3K4me2 Patterns across Multiple Tissues
Flow Decomposition With Subpath Constraints
Multiple Graph Alignment for the Structural Analysis of Protein Active Sites
A Computational Approach Using Ratio Statistics for Identifying Housekeeping Genes from cDNA Microarray Data
High Performance Hybrid Functional Petri Net Simulations of Biological Pathway Models on CUDA
Using Kernel Alignment to Select Features of Molecular Descriptors in a QSAR Study
Family-Specific Training Improves Linear B Cell Epitope Prediction for Emerging Viruses
Novel Consensus Gene Selection Criteria for Distributed GPU Partial Least Squares-Based Gene Microarray Analysis in Diffused Large B Cell Lymphoma (DLBCL) and Related Findings
Super-Thresholding: Supervised Thresholding of Protein Crystal Images
CrisprDA: A Data Augmentation Method Enhancing the Efficiency of sgRNA on-Target Activity Prediction
KenDTI: An Ensemble Model for Predicting Drug-Target Interaction by Integrating Multi-Source Information
Netpro2vec: A Graph Embedding Framework for Biomedical Applications
Constructing Integrative ceRNA Networks and Finding Prognostic Biomarkers in Renal Cell Carcinoma
Continuous Petri Nets and microRNA Analysis in Melanoma
Predicting Drug-Target Interactions Via Dual-Stream Graph Neural Network
Purely Structural Protein Scoring Functions Using Support Vector Machine and Ensemble Learning
A Recent Survey on Colon Cancer Detection Techniques
Efficient and Scalable Alignment-Free Distributed Genotyping of SNPs and Short Indels
Optimal Objective-Based Experimental Design for Uncertain Dynamical Gene Networks with Experimental Error
A Faster Algorithm for Computing the Kernel of Maximum Agreement Subtrees
On Lattice Protein Structure Prediction Revisited
Predicting Disease-Associated N7-Methylguanosine (m 7 G) Sites via Random Walk on Heterogeneous Network
RabbitTrim: An Efficient and Versatile Trimmer on Multi-Core Platforms
RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association
GRA-GCN: Dense Granule Protein Prediction in Apicomplexa Protozoa Through Graph Convolutional Network
An Integrative Framework for Protein Interaction Network and Methylation Data to Discover Epigenetic Modules
Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification
Guest Editors Introduction to the Special Section on Bioinformatics Research and Applications
Inferring Time-Delayed Causal Gene Network Using Time-Series Expression Data
MTF-hERG: A Multi-Type Features Fusion-Based Framework for Predicting hERG Cardiotoxicity of Compounds
CATransUnetLBP: Accurate Prediction of Protein-Ligand Binding Pockets Using a Hybrid Network
Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection
SparseNCA: Sparse Network Component Analysis for Recovering Transcription Factor Activities with Incomplete Prior Information
A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging
Integrating Molecular Graph Data of Drugs and Multiple -Omic Data of Cell Lines for Drug Response Prediction
ClassAMP: A Prediction Tool for Classification of Antimicrobial Peptides
Correction to "Detecting Essential Proteins Based on Network Topology, Gene Expression Data, and Gene Ontology Information"
Generative Incomplete Multi-View Prognosis Predictor for Breast Cancer: GIMPP
Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information
Formal Analysis of Network Motifs Links Structure to Function in Biological Programs
Genome-Guided Transcriptome Assembly in the Age of Next-Generation Sequencing
Antilope - A Lagrangian Relaxation Approach to the de novo Peptide Sequencing Problem
PALLAS: Penalized mAximum LikeLihood and pArticle Swarms for Inference of Gene Regulatory Networks From Time Series Data
Bayesian Basecalling for DNA Sequence Analysis Using Hidden Markov Models
Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction
A Two-Phase Improved Correlation Method for Automatic Particle Selection in Cryo-EM
Guest Editorial for Selected Papers From BIOKDD 2019
Enhancing Generalizability in Biomedical Entity Recognition: Self-Attention PCA-CLS Model
Detection Copy Number Variants from NGS with Sparse and Smooth Constraints
Heterogeneous Covariates-Aware Pseudo Supervised Meta-Learning for Few-Shot Diabetes Classification
Local-Nearest-Neighbors-Based Feature Weighting for Gene Selection
On the Unreported-Profile-is-Negative Assumption for Predictive Cheminformatics
Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction
Quantifying the Degree of Self-Nestedness of Trees: Application to the Structural Analysis of Plants
Hadamard Conjugation for the Kimura 3ST Model: Combinatorial Proof Using Path Sets
Feature Selection for Gene Expression Using Model-Based Entropy
Designing Filters for Fast-Known NcRNA Identification
ACP-ESM2: Enhancing Anticancer Peptide Prediction With Pre-Trained Protein Language Models
A Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation of Lateral Flow Immunoassay Models
Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data
Comparing Genomes with Duplications: A Computational Complexity Point of View
Multisample aCGH Data Analysis via Total Variation and Spectral Regularization
Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC)
Oscillatory Dynamics of p53-Mdm2 Circuit in Response to DNA Damage Caused by Ionizing Radiation
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression
Generalized Query-Based Active Learning to Identify Differentially Methylated Regions in DNA
Reframed Genome-Scale Metabolic Model to Facilitate Genetic Design and Integration with Expression Data
Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle
An Automated cDNA Microarray Image Analysis for the Determination of Gene Expression Ratios
A Study of Hierarchical and Flat Classification of Proteins
MMBIRFinder: A Tool to Detect Microhomology-Mediated Break-Induced Replication
Disturbance Decoupling of Singular Boolean Control Networks
HMMCAS: A Web Tool for the Identification and Domain Annotations of CAS Proteins
CTsynther: Contrastive Transformer Model for End-to-End Retrosynthesis Prediction
Output-Sensitive Algorithms for Finding the Nested Common Intervals of Two General Sequences
Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach
An Ultra-Fast and Parallelizable Algorithm for Finding $k$k-Mismatch Shortest Unique Substrings
Reassortment Networks and the Evolution of Pandemic H1N1 Swine-Origin Influenza
Seeded Tree Alignment
Protein-Binding RNA Prediction Based on Integrated Sequence-Structure-Function Pre-Training
Classification of Mild Cognitive Impairment With Multimodal Data Using Both Labeled and Unlabeled Samples
TFIDF-Random Forest: Prediction of Aptamer-Protein Interacting Pairs
Filter Design with Adaptation to Time-Delay Parameters for Genetic Regulatory Networks
Co-Expression Network Approach to Studying the Effects of Botulinum Neurotoxin-A
DeePROG: Deep Attention-Based Model for Diseased Gene Prognosis by Fusing Multi-Omics Data
"Pull Moves" for Rectangular Lattice Polymer Models Are Not Fully Reversible
Improved Layout of Phylogenetic Networks
Guest Editorial for ACM BCB
Discovering Gene Networks with a Neural-Genetic Hybrid
Gene Clustering via Integrated Markov Models Combining Individual and Pairwise Features
SSKM_Succ: A Novel Succinylation Sites Prediction Method Incorporating K-Means Clustering With a New Semi-Supervised Learning Algorithm
Essential Protein Recognition via Community Significance
Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples
Inferring Metabolite-Disease Association Using Graph Convolutional Networks
Efficiently Mining Gene Expression Data via a Novel Parameterless Clustering Method
Strategy for Naturelike Designer Transcription Factors with Reduced Toxicity
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data
DualMarker: A Multi-Source Fusion Identification Method for Prognostic Biomarkers of Breast Cancer Based on Dual-Layer Heterogeneous Network
Medical Image Super-Resolution Based on Semantic Perception Transfer Learning
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions
Faster Algorithms for Constructing Frequency Difference Consensus Trees
State Observer Design of Coupled Genetic Regulatory Networks With Reaction-Diffusion Terms via Time-Space Sampled-Data Communications
Shaking the β-Bulges
Circular Order Aggregation and Its Application to Cell-Cycle Genes Expressions
Nonparametric Tikhonov Regularized NMF and Its Application in Cancer Clustering
Influence Networks Compared with Reaction Networks: Semantics, Expressivity and Attractors
MinePhos: A Literature Mining System for Protein Phoshphorylation Information Extraction
Characteristics of Myosin V Processivity
Hybrid Machine Learning Models for Predicting Types of Human T-cell Lymphotropic Virus
ResNet-SCDA-50 for Breast Abnormality Classification
3D Shape Reconstruction of Loop Objects in X-Ray Protein Crystallography
scICML: Information-Theoretic Co-Clustering-Based Multi-View Learning for the Integrative Analysis of Single-Cell Multi-Omics Data
Fast Surface-Based Travel Depth Estimation Algorithm for Macromolecule Surface Shape Description
Hyperbolic Nature of Differential Expression Signatures
Accurate Flow Decomposition via Robust Integer Linear Programming
Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data
An Attention Based Bidirectional LSTM Method to Predict the Binding of TCR and Epitope
A Deep Learning Framework for Protein-to-Metal Binding Prediction Using Protein Language Models
Guest Editors' Introduction to the Special Section on Algorithms in Bioinformatics
Multi-Omics Correlation Reconstruction of Complete Graph Forms Based on the Self-Expressive Learning Network for Cancer Subtype Prediction
Bi-Encoder-Based Approach to Biomedical Document-Level Entity Recognition and Relation Extraction
Parallel Algorithm for Discovering and Comparing Three-Dimensional Proteins Patterns
Scaffold Filling under the Breakpoint and Related Distances
Using Multi-Encoder Semi-Implicit Graph Variational Autoencoder to Analyze Single-Cell RNA Sequencing Data
DomBpred: Protein Domain Boundary Prediction Based on Domain-Residue Clustering Using Inter-Residue Distance
Plant Disease Detection Using Generated Leaves Based on DoubleGAN
Efficient Quartet Representations of Trees and Applications to Supertree and Summary Methods
PiTLiD: Identification of Plant Disease From Leaf Images Based on Convolutional Neural Network
MDTE DB: A Database for MicroRNAs Derived from Transposable Element
Predicting Molecular Formulas of Fragment Ions with Isotope Patterns in Tandem Mass Spectra
Predicting Coding Potential of RNA Sequences by Solving Local Data Imbalance
BitMapper2: A GPU-Accelerated All-Mapper Based on the Sparse q-Gram Index
ParaCells: A GPU Architecture for Cell-Centered Models in Computational Biology
A Sparse Learning Framework for Joint Effect Analysis of Copy Number Variants
Structural and Functional Impact of Damaging Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs) on Human VPS35 Protein Using Computational Approaches
CRBSP:Prediction of CircRNA-RBP Binding Sites Based on Multimodal Intermediate Fusion
Correlation between Gene Expression and GO Semantic Similarity
Stable Gene Selection from Microarray Data via Sample Weighting
Identifiability of Two-Tree Mixtures for Group-Based Models
Dopcc: Detecting Overlapping Protein Complexes via Multi-Metrics and Co-Core Attachment Method
Effective Gene Selection Method With Small Sample Sets Using Gradient-Based and Point Injection Techniques
Codon Context Optimization in Synthetic Gene Design
An Interpretable Deep Learning Approach for Biomarker Detection in LC-MS Proteomics Data
Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis
On the Classification of a Small Imbalanced Cytogenetic Image Database
Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure
A Data-Driven Approach to Predict and Classify Epileptic Seizures from Brain-Wide Calcium Imaging Video Data
Ense-i6mA: Identification of DNA N 6 -Methyladenine Sites Using XGB-RFE Feature Selection and Ensemble Machine Learning
hMuLab: A Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression
Text Categorization of Biomedical Data Sets Using Graph Kernels and a Controlled Vocabulary
Application of Genetic Programming (GP) Formalism for Building Disease Predictive Models from Protein-Protein Interactions (PPI) Data
DHAG-DTA: Dynamic Hierarchical Affinity Graph Model for Drug-Target Binding Affinity Prediction
EPIHC: Improving Enhancer-Promoter Interaction Prediction by Using Hybrid Features and Communicative Learning
MCA-Net: Multi-Feature Coding and Attention Convolutional Neural Network for Predicting lncRNA-Disease Association
SAGCN: Using Graph Convolutional Network With Subgraph-Aware for circRNA-Drug Sensitivity Identification
Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning
Drug Target Prediction by Multi-View Low Rank Embedding
Pairwise Statistical Significance of Local Sequence Alignment Using Sequence-Specific and Position-Specific Substitution Matrices
Epilepsy Signal Recognition Using Online Transfer TSK Fuzzy Classifier Underlying Classification Error and Joint Distribution Consensus Regularization
Quartets MaxCut: A Divide and Conquer Quartets Algorithm
Drug-Target Binding Affinity Prediction in a Continuous Latent Space Using Variational Autoencoders
Software Suite for Gene and Protein Annotation Prediction and Similarity Search
On the Number of Ranked Species Trees Producing Anomalous Ranked Gene Trees
A Tabu Search Approach for the NMR Protein Structure-Based Assignment Problem
Closing the Complexity Gap of the Double Distance Problem
Sparse Support Vector Machines with L_{p} Penalty for Biomarker Identification
Editorial: Special Section on Bio-Inspired Swarm Computing and Engineering
DeepSeed Local Graph Matching for Densely Packed Cells Tracking
Modeling Methylation Patterns with Long Read Sequencing Data
Indexing Graphs for Path Queries with Applications in Genome Research