dataesr/scientific-paragraphs-categorization huggingface dataset:
17. Good overall agreement between predictions and the data is observed. A similar level of agreement is obtained by using other PDF sets than the employed MSTW2008 set. Also the anti-k T cross sections agree well with the theory predictions. For inclusive jets and dijets the NLO predictions using the anti-k T or the k T jet algorithm are identical, for trijets they are not. The hadronisation corrections between anti-k T and k T jets differ slightly. The anti-k T trijet cross sections have a tendency of being slightly lower than the k T measurement. Of the results presented here, those which can be compared to previous H1 measurements are found to be well compatible.
002 around the nominal value of α s (M Z ) = 0. 118 (see e. g. [79] ). For the full range of available MSTW2008 PDF sets with different fixed values of α s (M Z ), the resulting values of α s from fits to jet data are displayed in Fig. 18. While some dependence on the value of α s (M Z ) used in the PDF fit is observed for the α s values obtained from inclusive jet and dijet cross sections, the α s -value obtained from the trijet cross sections shows only a very weak dependence on α s (M Z ). This is due to the high sensitivity of the trijet cross sections to α s , where the calculation is of O(α 2 s ) already at LO. Consequently, due to the inclusion of the trijet cross sections, the dependence on α s (M Z ) as used in the PDF fit is reduced for the fit to the multijet dataset. • Procedural and theory uncertainties on the PDFs: In order to estimate the uncertainty due to the procedure used to extract PDFs, all α s fits are repeated using PDF sets from different groups.
Summary Measurements of inclusive jet, dijet and trijet cross sections in the Breit frame in deep-inelastic electron-proton scattering in the kinematical range 150 < Q 2 < 15 000 GeV 2 and 0. 2 < y < 0. 7 are presented, using H1 data corresponding to an integrated luminosity of 351pb -1. The measurements consist of absolute jet cross sections as well as jet cross sections normalised to the neutral current DIS cross sections. Jets are determined using the k T and the anti-k T jet algorithm. Compared to previous jet measurements by H1, this analysis makes use of an improved electron calibration and further development of the energy flow algorithm, which combines information from tracking and calorimetric measurements, by including a better separation of electromagnetic and hadronic components of showers.
Acknowledgments We are grateful to the  HERA machine group  whose outstanding efforts have made this experiment possible. We thank the engineers and technicians for their work in constructing and maintaining the H1 detector, our funding agencies for financial support, the  DESY  technical staff for continual assistance and the  DESY  directorate for support and for the hospitality which they extend to the non DESY members of the collaboration. We would like to give credit to all partners contributing to the  EGI computing infrastructure  for their support for the H1 Collaboration. Furthermore, we thank  Zoltán Nagy  and  Stefan Höche  for fruitful discussions and for help with their computer programs. Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
Background: Comparative evolutionary analysis of whole genomes requires not only accurate annotation of gene space, but also proper annotation of the repetitive fraction which is often the largest component of most if not all genomes larger than 50 kb in size. Results: Here we present the Rice TE database (RiTE-db) -a genus-wide collection of transposable elements and repeated sequences across 11 diploid species of the genus Oryza and the closely-related out-group Leersia perrieri. The database consists of more than 170,000 entries divided into three main types: (i) a classified and curated set of publicly-available repeated sequences, (ii) a set of consensus assemblies of highly-repetitive sequences obtained from genome sequencing surveys of 12 species; and (iii) a set of full-length TEs, identified and extracted from 12 whole genome assemblies.
This is because most current genome assemblies have been generated using short-read chemistry (e. g. Illumina): highly repetitive sequences and transposable elements pose significant problems to assembly algorithms. As a result, repeat annotation of most SGS assemblies leads to skewed representations of the actual native repeat content. Therefore the use of software tools such as ReAS and RE can lead to a more accurate and complete representation of the repeat content of a given genome. The majority of available repeat data for plants is derived from a few crops and model species. However, the development of specific repeat libraries for new genome projects is now becoming a routine. The dissemination of repeat libraries organized in databases is a common mechanism used to provide informative and convenient access to repeat and TE sequences.
Most repeat databases contain repeat libraries from a single to a few genome assembly projects (e. g. [6] [7] [8] , http://maizetedb. org), or can span the whole spectrum of organisms (http://www. girinst. org). In rice (Oryza sativa), for example, efforts to annotate and distribute rice repeats have led to both generic (http://plantrepeats. plantbiology. msu. edu/) and more specialized databases  [9]. Rice has been extensively used as a model species to investigate many aspects of plant biology. In 2005 the International Rice Genome Project published what is still considered the highest quality genome assembly of any crop plant (i. e. BAC-by-BAC, Sanger sequenced, < 1/10,000 base error rate across most of the genome  [10] ). Since 2005 the International Oryza Map Alignment Project (IOMAP) has generated a large set of genomic resources aimed at exploiting the wild relatives of rice for basic research and crop improvement  [11, 12].
This work is targeted towards the generation of a total of 11 highly quality genome assemblies that have been annotated for gene and repeat space (IOMAP, in preparation). Here we present the Rice TE database (RiTE-db), a comprehensive repeat dataset developed with sequence data from 11 Oryza species and the outgroup Leersia perrieri. Our aim is to provide a complete and detailed annotation of TEs and repeated sequences as a resource to the plant and evolutionary biology communities.
Methods RiTE-db is set up on a Linux-Apache-MySQL-Perl (LAMP) system. We use JavaScript libraries including jQuery (1. 10. 2), jQueryUI (1. 10. 4) and some additional plugins to perform dynamic web services. We provided keyword and sequence-based BLAST search functions. In the current version, RiTE-db contains 265,549 TE and repeat sequence entries from 11 Oryza and one outgroup species. Users can retrieve data with auto-search options by selecting preloaded keywords from database type, species, repeat code and element type, and then download the search results for local use. Users can also use the search result to construct a customized database for remote BLAST searches. The 265,549 entries included in the database resulted from different sources, each detailed separately below. The RiTE-db source code is available upon request.
Plant Repeats Dataset It is a collection of plant TE and repeated sequences (PReDa) created by merging datasets from several publiclyavailable sources: TREP (http://wheat. pw. usda. gov/ITMI/ Repeats/), Plant Repeat Databases at Michigan State University (http://plantrepeats. plantbiology. msu. edu/), SoyBase  [7, 8] , submissions to NCBI, individual publications (e. g. [13] ) and an in-house collection of repeats from several Oryza species (Wing et al. , unpublished data). To classify all TE superfamilies and repeated sequences, a modification of the classification system proposed by Wicker and colleagues  [14]  was adopted, and 48 different codes were used (Additional file 1: Table  S1 ). To remove redundancy, but at the same time retain multiple representatives of each family, a clustering criteria of 90 % sequence similarity was set using USEARCH (http://drive5.
Repeat explorer libraries Single-end reads of 11 Oryza species and L. perrieri were collected from different sources (Table  1 ). Chloroplast and mitochondrial reads were isolated by aligning the reads to public sequences [GenBank:NC_001320. 1, GenBank:NC_008155. 1, GenBank:NC_016677. 1, GenBank: NC_007886. 1] with Bowtie2  [15]. Non-aligned reads were converted to a fasta format and a random subset spanning ~1. 5× of the genome was extracted (Table  1 ) and used as input for RepeatExplorer (RE)  [5]. RE output was further processed and characterized as follows: for each cluster, all sequences with less than 5 % AT or GC content were removed and the remaining reads were assembled with Phrap  [16]. Assembled sequences were then aligned to NCBI's non-redundant protein database (May 2012 release, or later versions) to remove sequences containing non-TE coding sequence.
Long terminal repeat retrotransposons De novo prediction of long terminal repeat retrotransposons (LTR-RTs) for each Oryza species was performed using LTRharvest software (http://www. zbh. uni-hamburg. de/ ?id=206;  [17] ) with the same parameters as in  [18]. All candidate sequences composed of tandem repeats were removed using Tandem Repeats Finder  [19]. LTR-RTs were masked with PReDa using all non-LTR-RT repeats to avoid the presence of nested insertions. Families of paralogous elements were defined as previously described by Wicker et al. [14]. Any family with less than three copies that did not contain any domains related to Copia or Gypsy elements was removed from the dataset. To reduce the redundancy of highly repeated families while conserving their diversity, centroid sequences were defined using cluster_fast with centroids option (d = 80), as part of the UCLUST package (www.
drive5. com/usearch/). A total of 10,166 complete non-redundant LTR-RTs was indentified (Table  2 ). The same method adopted to define families within a species was applied to all the elements for all 12 genomes, defining families shared between two or more assemblies. Information about single insertions were encoded in the sequence header in the following way: [Wicker code]_#[Order/Super- family]_[Species]_[Family id1]_[Family Id2]_[Chromo- some]_[Start]_[End] [Corresponding elements in Retroryza] [Full length or Fragment]. For example: the LTR-RT copy named RLG_#LTR/Gypsy_Ojapo1_-fam7_Chr4_7056110_7070993 hopi FL, is (i) a Gypsy (RLG_#LTR/Gypsy) retro-element (ii) from O. sativa ssp. japonica (Ojapo), (iii) that belongs to the family number 1 of O. s. ssp. japonica (this ID can be used to retrieve the other paralogs), (iv) and to family 7 of the whole dataset (to retrieve orthologs).
Terminal repeat retrotransposons in miniature TRIMs were annotated by combining de novo and homology-based search methods. The 12 genomes were first analyzed with LTR-FINDER software  [20]  using default options except for minimum LTR size and minimum length between two LTRs that were both decreased to 30 bp. The O. sativa tRNA database was used to predict the primer binding site. Output sequences were manually inspected to remove false positives composed of tandem repeats and other non-TRIM sequences. LTR-RTs with homology to reverse transcriptase were removed by BLASTX searches, and only elements shorter than 1. 6 kb were considered as TRIMs. Additionally, the identified TRIMs were used to search against other genomes to find homologous TRIMs. Only one representative for each family (for a total of 124 elements, Table  2 ) was included in RiTE-db.
Short interspersed nuclear elements The characterization of full-length short interspersed nuclear elements (SINEs) was conducted by adopting the SINE-Finder software tool  [13]. Scans for SINE elements were performed three times on each genome using different settings and the results were combined. The first run used all default parameters, the second used the target site duplication (TSD) score cutoff set to 7, and the third run had specific A-box and B-box motifs derived from monocotyledonous elements. Outputs were aligned against internal repeat databases and assembled genome sequences to confirm the SINE nature and refine the ends. TSDs were removed from each sequence and elements were renamed with a three-letter code  [14]. To reduce redundancy, only one copy from two or more 100 % identical elements was retained.
MULE DNA transposons Terminal inverted repeat (TIR) sequences of Mutator-like elements (MULEs) in Oryza sativa ssp. japonica were obtained from Ferguson et al. ,  [21]. We also scanned for de novo MULE TIR sequences in all 12 genomes using RepeatScout (version 1. 0. 5; [22] ). Repeat families with at least 20 copies were collected and consensus sequences were obtained and grouped with known O. sativa MULE TIR sequences. To remove sequences from other repeat types, RepeatMasker (http://repeatmasker. org) was run using the classified PReDa sequences as a library. Sequences with at least 30 % of the length masked by known non-MULE TEs from PReDa were removed. To examine whether de novo consensus sequences represent the TIRs of a MULE, RepeatMasker was run on the 12 genome data set with the remaining TIR sequences as the library.
The tracts were then compared in dot plot analyses using Dotter  [24]  software, and the results were manually parsed to verify the element's 3' end and 5' ends (Additional file 2: Figure  S2 ). Tracts of 40 bp in length were extracted from the ends of all putative elements and were used to create a Helitron ends library. For the second step, the library produced was used to scan all genome assemblies using RepeatMasker (http://repeatmasker. org). Output files were parsed according to the following relaxed criteria: a) 5' and 3' ends should have the expected orientation; b) the distance between both ends must be longer than 200 bp and shorter than 15 kb; c) a maximum of 4 mismatches out of 40 bp in each end was permitted; d) no more than 1 mismatch was allowed in the 3' CTRR end; and e) the Helitron AT insertion rule was respected.
Results and Discussion RiTE-db contains both published and original data, and is centered on the characterization and public distribution of new repeat sequences from previously uncharacterized and unpublished Oryza genome assemblies (Table  1 ). It is composed of three data sets derived from: 1) the Plant Repeat Database (PReDa), 2) de novo repeat assemblies; and 3) full-length (FL) transposable elements (Fig. 1 ). PReDa is an in house database mostly composed of plant repeats gathered from publicly-available sources. Its role is to represent the current diversity of available plant repeat collections, compensating for the contingent absence of specific repeats from one source, and was used for the characterization of new repeats. De novo repeat libraries were developed using RE  [5]  from raw Illumina data (Table  1 ), and the output sequences were manually curated and characterized.
FL elements were identified using structure-based methods from sequence assemblies of the 11 Oryza and the outgroup species (Table  1 ). Complete insertions were characterized for the following six TE orders: (i) canonical LTR-RTs of the Copia and Gypsy superfamilies, (ii) terminal repeat retrotransposons in miniature (TRIM), (iii) short interspersed nuclear elements (SINE), (iv) MULE DNA transposons, (v) non-autonomous DNA transposons (NA-DNAT), and (vi) Helitrons. Redundancy was removed from the database by retaining only a single representative of a set of highly similar sequences (i. e. > 90 % similarity across the entire length the sequence). All three data sets will be the subject of periodic updates and curation to improve the quality of the sequences. Sequence classification was based on the published system of Wicker et al.
Similarly, for sequences whose complete classification was not possible, the character X at the corresponding code position was used to denote classification ambiguity. Ribosomal DNA and tRNA sequences were assigned to BRN and BTN codes, respectively. Structural repeats, such as centromeric, telomeric, tandem repeat and low complexity sequences were classified with a code starting with S (Additional file 1: Table  S1 ). Additional file 1: Tables  S2  and S3  describe the amount of sequence belonging to different repeat classes in the PReDa and RE datasets, with the individual contribution of each species shown for the latter dataset. The web-based interface developed for RiTE-db allows one to search, browse, visualize, and retrieve sequences (Fig. 2 ), and perform BLAST searches against them (Fig.
3 ). Users can conduct searches on the basis of the different criteria used to describe sequence features such as: sequence identifier, element type (from PReDa, RE, or FL), repeat code, and species. The hierarchical structure of sequence classification and species taxonomy features was exploited to retrieve multiple subclasses in a single data base query (i. e. selecting Class I, all LTR and non-LTR retrotransposons will be retrieved). A set of checkboxes for each category allows for easy selection of one or more features to conduct searches (Fig. 2a ). Selected entries can be then be visualized (Fig. 2b ), downloaded (Fig. 2c ), or used as a dynamic BLAST database for the custom queries (Fig. 3 ).
Conclusions Rice is the most important food crop in the world. The development of higher yielding and more nutritious and sustainable varieties will play a key food security role as the world population increases to 10 billion in less than 35 years. To help meet this need, the International Oryza Map Alignment Project (IOMAP) developed a large array of genomic resources that can be used to interrogate the genus Oryza (i. e. 23 species, 11 genome types, 3. 6-fold genome size variation, world-wide distribution, 17 MY of evolutionary divergence) for the Fig. 1  Structure of the Rice TE database. The Rice TE database (RiTE-db) is composed of three data sets: publicly characterized TEs and repeats, de novo repeat libraries, and full-length elements isolated from genome assemblies. Result can be downloaded for the users' needs or used to build custom database quires for BLAST searches identification and harnessing of agriculturally important genes and variation not currently present in modern rice varieties (reviewed in  [25] ).
These resources include a new set of full genome assemblies from eight Oryza species (  [11, 12]  and IOMAP et al. unpublished), and a single outgroup species Leersia perrieri, bringing the total number of full Oryza genome sequences to 11. In order to understand and compare the functional and evolutionary diversity of this novel 12 genome data set, our consortia used two genome annotation pipelines for both gene and repeat space annotation, the latter of which is the subject of the development of the Rice TE database (RiTE-db). The added value of a custom repeat collection comes from the isolation of target sequences by exploiting all of their fundamental featuresi. e. existing in a high copy number, possessing typical sequence motifs, and/or encoding for specific domains. The de novo and assemblyindependent approach guaranteed of all repeated sequences regardless of their inclusion in the assembly.
The complete elementsdisplaying specific signatures and isolated from the genome assembliesenabled the identification of recently transposed or divergent elements, including those present at a single copy. The combination of approaches adopted provided a systematic and uniform survey of repeats across the Oryza, allowing for direct comparison across species. Extensive efforts were put in cross-validating all datasets by manual curation to minimize the mis-classification of individual entries or the presence of any other type of sequence different than the one described in the entry (nested TEs, captured gene fragments). Because of how it was conceived, this dataset has its optimal return on genomics research conducted within Oryza species. For the investigation of the repeat complement in species outside of this genus, we suggest to use the present method as a template for the production of new and more customized datasets.
This allowed for the incorporation of new types of repeats into the database and to encode information about element transposition capacity. With this database, we expand the amount of repeat data currently available for the Oryza genus in a more curated and uniform manner. For example, RepBase, the most common and complete repeat collection of repetitive sequences (http://www. girinst. org), does not encompass this perspective. Out of 580 RepBase entries (v. sequences for nine new species, where each entry is characterized and classified. The presence of full-length elements is another important step towards building a complete catalog of TEs in a genus. The availability and free circulation of RiTE-db will enable the community to keep pace with the continuous generation of genomic data  [26, 27] , providing high-quality annotation of any new Oryza genome.
The breadth and comprehensiveness of RiTE-db was deliberately conceived to help develop Hidden Markov Models of repeated sequences, since scanning genomes with these profiles allows for the identification more ancient or diverged repetitive sequences  [28]. We present the Rice TE database (a. k. a. RiTE-db), the first example of a repeat database spanning the breadth of an entire biological genus. The methods used to identify and catalog Oryza repeats have been applied consistently across all 12 species, making these datasets directly comparable. The complementarity of the strategies adoptedthe detection of all highly repeated sequences and all complete TEsguarantees the comprehensiveness required for high quality genome annotation. In the future, we envisage the addition of more complete elements from other superfamilies, covering all major plant TE classes.
Cryptococcus neoformans causes life-threatening meningoencephalitis in humans, but its overall biological and pathogenic regulatory circuits remain elusive, particularly due to the presence of an evolutionarily divergent set of transcription factors (TFs). Here, we report the construction of a high-quality library of 322 signature-tagged gene-deletion strains for 155 putative TF genes previously predicted using the DNA-binding domain TF database, and examine their in vitro and in vivo phenotypic traits under 32 distinct growth conditions. At least one phenotypic trait is exhibited by 145 out of 155 TF mutants (93%) and B85% of them (132/155) are functionally characterized for the first time in this study. The genotypic and phenotypic data for each TF are available in the C. neoformans TF phenome database (http://tf.
neoformans that are unique compared with those of other fungi. To understand C. neoformans TF networks on a global scale, we constructed a high-quality gene-deletion collection through homologous recombination methods for 155 putative C. neoformans TFs previously predicted to contain DNA-binding domains (DBDs)  5, 6. The TF mutant strains are analysed for 30 distinct in vitro phenotypic traits, which cover growth, differentiation, stress responses, antifungal resistance and virulence-factor production. Moreover, we also performed a large-scale virulence test using an insect host model and signature-tagged mutagenesis (STM) scoring in a murine host model. This comprehensive phenotypic data set (phenome) of the TFs, which can be accessed online through the Cryptococcus Transcription Factor Phenome Database (http://tf.