Literature DB >> 29316735

The 2018 Nucleic Acids Research database issue and the online molecular biology database collection.

Daniel J Rigden1, Xosé M Fernández2.   

Abstract

The 2018 Nucleic Acids Research Database Issue contains 181 papers spanning molecular biology. Among them, 82 are new and 84 are updates describing resources that appeared in the Issue previously. The remaining 15 cover databases most recently published elsewhere. Databases in the area of nucleic acids include 3DIV for visualisation of data on genome 3D structure and RNArchitecture, a hierarchical classification of RNA families. Protein databases include the established SMART, ELM and MEROPS while GPCRdb and the newcomer STCRDab cover families of biomedical interest. In the area of metabolism, HMDB and Reactome both report new features while PULDB appears in NAR for the first time. This issue also contains reports on genomics resources including Ensembl, the UCSC Genome Browser and ENCODE. Update papers from the IUPHAR/BPS Guide to Pharmacology and DrugBank are highlights of the drug and drug target section while a number of proteomics databases including proteomicsDB are also covered. The entire Database Issue is freely available online on the Nucleic Acids Research website (https://academic.oup.com/nar). The NAR online Molecular Biology Database Collection has been updated, reviewing 138 entries, adding 88 new resources and eliminating 47 discontinued URLs, bringing the current total to 1737 databases. It is available at http://www.oxfordjournals.org/nar/database/c/.
© The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Mesh:

Year:  2018        PMID: 29316735      PMCID: PMC5753253          DOI: 10.1093/nar/gkx1235

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


NEW AND UPDATED DATABASES

This 2018 Nucleic Acids Research Database Issue is the 25th annual collection of bioinformatic databases. The quarter century arrives with 181 papers which, as ever, span all areas of molecular biology research. The total includes 82 new databases (Table 1) and 84 updates of resources that have previously appeared in the Database Issue. There are also 15 updates on databases previously described elsewhere (Table 2).
Table 1.

Descriptions of new online databases in the 2018 NAR Database issue

DatabaseURLBrief descriptiona
3DIV http://kobic.kr/3div 3D-genome Interaction Viewer and database
AAgMarker http://bioinfo.wilmer.jhu.edu/AAgMarker/index.jsp Serum autoantigen biomarkers from proteome microarrays
aBiofilm http://bioinfo.imtech.res.in/manojk/abiofilm/ Anti-biofilm compounds
ActiveDriverDB https://activedriverdb.org/ Genome variation mapped against post-translational modifications
ADReCS-Target http://bioinf.xmu.edu.cn/ADReCS-Target Adverse Drug Reactions linked to proteins, genes and genetic variants
AmyPro http://amypro.net Proteins with validated amyloidogenic regions
anti-CRISPRdb http://cefg.uestc.edu.cn/anti-CRISPRdb/ anti-CRISPR proteins
AraGWAS Catalog https://aragwas.1001genomes.org Arabidopsis Genome-Wide Association Studies
ASpedia http://combio.snu.ac.kr/aspedia Alternative Splicing Encylopedia
ChannelsDB http://ncbr.muni.cz/ChannelsDB Channels, pores and tunnels found in biomacromolecular structures
CirGRDB http://cirgrdb.biols.ac.cn Regulation of RNAs in circadian rhythms
ClusterCAD https://clustercad.jbei.org and http://clustercad.igb.uci.eduEngineering of type I modular polyketide synthases
CR2Cancer http://cis.hku.hk/CR2Cancer Chromatin Regulators and Cancer
CSCD http://gb.whu.edu.cn/CSCD Cancer-Specific cRNA Database
dbCAN-seq http://cys.bios.niu.edu/dbCAN_seq Genome scale CAZymes and CAZyme gene clusters
dbCoRC http://dbcorc.cam-su.org/ Core transcriptional Regulatory Circuit models
DifferentialNET http://netbio.bgu.ac.il/diffnet Differential protein-protein interactions in human tissues
DiseaseEnhancer http://biocc.hrbmu.edu.cn/DiseaseEnhancer/ Enhancer-disease associations
DISNOR http://disnor.uniroma2.it/ Protein interaction networks linking disease genes
DreamBASE http://rna.sysu.edu.cn/dreamBase Human expressed pseudogenes: DNA Modification, RNA Regulation and bound proteins
ECOdrug http://www.ecodrug.org Evolutionary COnservation of Drug targets
EpiDenovo http://61.148.58.210:8080/EpiDenovo/ The epigenome in mammalian embryonic development
EPD https://peptracker.com/epd/ Encyclopedia of Protein Dynamics
EVLncRNAs http://biophy.dzu.edu.cn/EVLncRNAs/ Experimentally Validated lncRNAs including disease indications
eRAM http://www.unimd.org/eram/ Annotated rare diseases
ExoRBase http://www.exoRBase.org Human blood exosome RNAs
FlavorDB http://cosylab.iiitd.edu.in/flavordb Flavour molecules
FusionDB http://services.bromberglab.org/fusiondb/ Functional-repertoire similarity-based organism network
GVM http://bigd.big.ac.cn/gvm/ Genome Variation Map
HCMDB http://hcmdb.i-sanger.com/index Human Cancer Metastasis DataBase
HEDD http://zdzlab.einstein.yu.edu/1/hedd.php Human Enhancer Disease Database
ICG http://icg.big.ac.cn Internal Control Genes for RT-qPCR normalization
IMOTA https://ccb-web.cs.uni-saarland.de/imota/ Interactive Multi-Omics-Tissue Atlas
iPTMnet http://research.bioinformatics.udel.edu/iptmnet/ Post-Translational Modification networks
ITSoneDB http://itsonedb.cloud.ba.infn.it/ Eukaryotic ribosomal RNA Internal Transcribed Spacer 1 sequences
jMorp https://jmorp.megabank.tohoku.ac.jp/ Metabolomics and proteomics of 1000 healthy Japanese people
LINCS Data Portal http://lincsportal.ccs.miami.edu/dcic-portal/ Cell-based perturbation-response signatures
LinkedOmics http://www.linkedomics.org Multi-omics analysis of 32 cancers
Lnc2Meth http://www.bio-bigdata.com/Lnc2Meth lncRNAs and DNA methylation
m6AVar http://m6avar.renlab.org/ Human variants affecting m6A sites
MeDReaders http://medreader.org/ Transcription factors binding methylated DNA
microbiomeDB http://microbiomeDB.org Mining and analysing microbiome data
MINTbase https://cm.jefferson.edu/MINTbase/ Mitochondrial and nuclear tRNA fragments
miRCarta https://mircarta.cs.uni-saarland.de/ miRNAs and precursors
mirTrans http://mcube.nju.edu.cn/jwang/lab/soft/mirtrans/ Cell-specific transcriptional information for human miRNAs
MIST http://fgrtools.hms.harvard.edu/ProteinSearch/ Model organism molecular interaction data
MGA http://ccg.vital-it.ch/mga/ Mass Genome Annotation
MMP https://mmp.sfb.uit.no/databases/ Marine Metagenomics Portal
MSDD http://www.bio-bigdata.com/msdd/ miRNA SNP Disease Database
mSignatureDB http://tardis.cgu.edu.tw/msignaturedb Mutational signatures in human cancers
MVP http://mvp.medgenius.info Microbe-phage interactions
NPASS http://bidd2.nus.edu.sg/NPASS/ Natural Product quantitative Activities
OverGeneDB http://overgenedb.amu.edu.pl Overlapping protein-coding genes
PAMDB http://pseudomonas.umaryland.edu Pseudomonas aeruginosa Metabolome DataBase
PancanQTL http://bioinfo.life.hust.edu.cn/PancanQTL/ Expression quantitative loci (eQTL) analysis of cancer samples
PedAM http://www.unimd.org/pedam/ Pediatric Disease Annotation & Medicine
PCSD http://systemsbiology.cau.edu.cn/chromstates Plant Chromatin State Database
PGG.Population https://www.pggpopulation.org Genomic diversity of diverse human populations
PharmacoDB http://pharmacodb.pmgenomics.ca Pharmacogenomics of cancer cell lines
PICKLES http://pickles.hart-lab.org Pooled In-vitro Crispr Knockout Library Essentiality Screens
PIT-DB http://pitdb.org Proteomics Informed by Transcriptomics
Planteome http://www.planteome.org Portal for plant ontologies and annotations
PopHuman http://pophuman.uab.cat Population genomics-oriented genome browser
qPrimerDB http://biodb.swu.edu.cn/qprimerdb qPCR primers for 200 organisms
RISE http://rise.zhanglab.net RNA-RNA interactions
RNArchitecture http://iimcb.genesilico.pl/RNArchitecture/ Structural classification of RNAs
SBCCDB http://sbcddb.moffitt.org Sleeping Beauty Cancer Driver DataBase
SCPortalen http://single-cell.clst.riken.jp/ Human and mouse single-cell centric database
SEECancer http://biocc.hrbmu.edu.cn/SEECancer Evolutionary-stage specific somatic events in cancer
StemMapper http://stemmapper.sysbiolab.eu Stem cell gene expression
STCRDab http://opig.stats.ox.ac.uk/webapps/stcrdab Structural T-Cell Receptor Database
SysteMHC Atlas https://systemhcatlas.org/ Immunopeptidomics of MHC-bound peptides
Tabloid Proteome http://iomics.ugent.be/tabloidproteome Protein associations inferred from Mass Spectrometry
Target-Pathogen http://target.sbg.qb.fcen.uba.ar/patho Drug target optimisation in pathogens
TC3A http://tc3a.org/ 3΄ untranslated regions, alternative polyadenylation and cancer
TissGDB http://zhaobioinfo.org/TissGDB Tissue-specific Gene DataBase in cancer
TranslatomeDB http://www.translatomedb.net/ Translatome data from RNC-Seq and Ribo-Seq
TriForC database http://bioinformatics.psb.ugent.be/triforc/ Triterpene pathways
TCSBN http://inetmodels.com Tissue and Cancer-Specific Biological Networks
VarCards http://varcards.biols.ac.cn/ Interpretation of coding variants in the human genome
VDJdb https://vdjdb.cdr3.net/.T-cell receptor sequences with known antigen specificity
Virus Taxonomy http://ictv.global Taxonomy of viruses

aFor full references to the databases featured in this issue, please see the Table of Contents.

Table 2.

Updated descriptions of databases most recently published elsewhere

DatabaseURLBrief descriptiona
BioMuta and BioExpress https://hive.biochemistry.gwu.edu/biomuta and https://hive.biochemistry.gwu.edu/bioxpressCancer SNVs and gene expression
BioStudies https://www.ebi.ac.uk/biostudies/ Data of all kinds relating to a single study
iSyTE http://research.bioinformatics.udel.edu/iSyTE integrated Systems Tool for Eye gene discovery
miRandola http://mirandola.iit.cnr.it/ Extracellular and circulating non-coding RNAs
mirDIP http://ophid.utoronto.ca/mirDIP/ microRNA Data Integration Portal
MNDR http://www.rna-society.org/mndr/ Mammal ncRNA-Disease Repository
NLSdb https://rostlab.org/services/nlsdb/ Nuclear Localization Signals
PAGER 2.0 http://discovery.informatics.uab.edu/PAGER/ Pathway, Annotated-list, and Gene-signature Electronic Repository
ProteomicsDB https://www.ProteomicsDB.org Mass spectrometry of the human proteome
PULDB http://www.cazy.org/PULDB_new/ Polysaccharide Utilization Loci in Bacteroidetes species
ReMap http://remap.cisreg.eu Transcription factor ChIP-seq data
RMDB http://rmdb.stanford.edu Structure mapping of RNA
SuperDrug2 http://cheminfo.charite.de/superdrug2 Approved drugs
TRRUST v2 http://www.grnpedia.org/trrust/ Transcriptional regulatory interactions in human and mouse.
TumorFusions http://www.tumorfusions.org Tumour fusion genes

aFor full references to the databases featured in this issue, please see the Table of Contents.

aFor full references to the databases featured in this issue, please see the Table of Contents. aFor full references to the databases featured in this issue, please see the Table of Contents. As in previous years, databases are grouped into eight broad subject categories. These cover (i) nucleic acid sequence and structure, transcriptional regulation; (ii) protein sequence and structure; (iii) metabolic and signalling pathways, enzymes and networks; (iv) genomics of viruses, bacteria, protozoa and fungi; (v) genomics of human and model organisms plus comparative genomics; (vi) human genomic variation, diseases and drugs; (vii) plants and (viii) other topics, such as proteomics databases. In an era of increasingly interdisciplinary research, it is no surprise that the content of many databases spans multiple categories so that resources often do not sit comfortably in a single category. Readers are again urged to browse the whole issue, rather than confining themselves to the most obviously relevant sections. The Nucleic Acids Research online Molecular Biology Database Collection, which is available at http://www.oxfordjournals.org/nar/database/c/, retains its more finely grained organisation, encompassing 15 categories and 41 subcategories. The issue begins with broad surveys of resources at major global centres, including the U.S. National Center for Biotechnology Information (NCBI), the European Bioinformatics Institute (EBI) and the BIG Data Center at the Beijing Institute of Genomics, Chinese Academy of Sciences. The NCBI Resources paper (1) presents an interesting analysis illustrating the extent of the cross-talk between different databases within the site, exemplifying the value to the user of the extensive data integration implemented at these centres. The EBI paper (2) describes new data types including image data, biobanks and biosamples, as well as charting the continued exponential growth in the volume of many kinds of data. The newest of the three, the BIG Data Center (3), focuses on genomic information, but also hosts facilities for samples, program code, and wikis. Many of the wikis are very active and have previously featured in NAR eg lncRNAwiki (4). The ‘Nucleic acid databases’ section begins with updates from the International Nucleotide Sequence Database Collaboration (5) and its three contributors, GenBank, ENA and DDBJ (6–8) which together face the challenge of continued exponential growth in nucleic acid sequence data. Transcription factors (TF) and transcriptional regulation are represented by a number of databases. The popular returning database of TF binding profiles, JASPAR (9), is published back to back with the ReMAP database (10) of TF ChIP-seq data: data from ReMAP contributed directly to JASPAR’s improved coverage. With recent intense interest in the role of 3D chromatin structure in gene regulation, the 3DIV resource (11) for 3D genome interaction visualisation is timely. The key RNA database Rfam (12) contributes an update describing a move to content based on a set of reference genomes. Mirroring changes made in Pfam (13), this eliminates much unhelpful redundancy and allows for clearer taxonomic comparisons. miRNA biology is strongly represented by updates from established databases such as DIANA-TarBase (14) and mirDIP (15), as well as new databases such as miRCarta (16). The new MSDD (17) links miRNA SNPs to diseases while EVLncRNAs (18) and MNDR (19) also major on disease links for non-coding RNAs. The well-established MODOMICS database of RNA modifications (20) is the subject of an update paper which, among other developments, reports on the availability of liquid chromatography/mass spectrometry data for modified nucleosides, facilitating profiling of such modifications by these methods. RNA structure is covered by the returning RMDB database (21), containing chemical mapping information that can be used to predict RNA secondary and tertiary structure, and the new RNArchitecture (22) which introduces a hierarchical organisation of RNA families with a focus on 3D structures, in the manner popularised by protein databases like SCOP. In the section on protein sequence and structure databases, the venerable SMART database celebrates 20 years with an update paper (23). It describes a particularly valuable new visualisation option, whereby domain architecture information can be added to phylogenetic trees with the Interactive Tree of Life (iTOL) tool (24). Another update from PDBe (25) includes mention of a newly developed library of freely available web components for interactive data visualizations. One of these, the LiteMol 3D viewer, notably allows convenient display of electron density in the browser window. An update on the popular ELM database of protein sequence motifs (26) reports, among other developments, on how fascinating examples of bacterial pathogen mimicry of eukaryotic motifs are now included in the database. A new arrival, ChannelsDB (27) contributes our cover image and describes the channels, tunnels and pores in protein structures that allow substrate access to buried catalytic sites, for example, or molecular passage through a transmembrane protein. Certain protein classes or families justify their own bespoke databases through medical or biological importance. T-cell receptors are served in this issue by both VDJdb (28), focussing on receptor sequences of known specificity, and STCRDab (29) which collects and curates structural information, linking to and allowing searches against a wide variety of structural, sequence and functional data. The returning database GPCRdb (30), for G protein-coupled receptors, majors on carefully made homology models and mapping receptors to ligands. Important updates in the metabolic and signalling section include the human metabolomics database HMDB (31). Release 4.0 brings huge increases in content, an improved interface and new kinds of information—predicted mass spectra and pharmacometabolomics. This issue also reports on a new metabolomics database, PAMDB (32), devoted to the bacterial pathogen Pseudomonas aeruginosa, justified not only by the biomedical importance of the organism but also by the novel metabolites that it contains. Metabolic pathways are covered by the well-known returning databases Reactome (33) and WikiPathways (34). The former update is notable for its Enhanced High Level Diagrams which superbly contextualise low-level pathways using images of cells, tissues and organs. Among enzyme-oriented databases MEROPS (35), devoted to proteases and their inhibitors, makes a welcome return with a near-doubling of sequences and cross-references to the PANTHER database (36). PANTHER full-length sequence based clustering is shown to be complementary to MEROP’s domain-based structure. Carbohydrate-active enzymes are covered by the arrival in NAR of PULDB (37), covering polysaccharide utilization loci in the prominent gut bacteria of the phylum Bacteriodetes, and dbCAN-seq (38), which usefully extrapolates information from the well-known CAZy database (39) to a genome scale. At the enzyme mechanism level, this issue sees the merger of two databases, MACiE and CSA, each veterans of multiple Database Issues, into a single new resource M-CSA (Mechanism and Catalytic Site Atlas) (40). In the microbial genomics section, there is an update paper from the yeast-focused SGD (41) which now includes curated lists of yeast genes that can replace the functions of human counterparts or vice versa. The popular TADB, covering toxins and antitoxins, also presents an update (42), as does SubtiWiki (43), devoted to the biology of Bacillus subtilis. Two new databases address viruses. The Virus Taxonomy (44) appears in NAR for the first time, despite the International Committee behind it dating back to the 1960s. The second, MVP (45) describes the complex interactions between microbes and the phage clusters that can infect one or more of them. Human and model organism genomics are strongly represented. The core resources Ensembl (46) and the UCSC Genome Browser (47) present their usual updates. The former is supplemented by an Ensembl Genomes paper (48) covering non-vertebrates which reports ∼20 000 new genomes covered. Other well-known returning databases include ENCODE (49), RefSeq (50) and Genomicus (51), the last showcasing new karyotype evolutionary trees. Among new databases, current trends in cell and molecular biology are reflected in StemMapper (52) that focusses specifically on stem cell gene expression, and SCPortalen (53) which stores transcriptomics data, metadata and cell images at the single cell level. Another notable new arrival is PICKLES (54) which collects information on human gene essentiality from the results of genome scale CRISPR knockout and shRNA knockdown experiments in cancer and other cell lines. As ever, databases devoted to human genomic variation and biomedical research are very well represented. Important returning databases include the IUPHAR/BPS Guide to Pharmacology (55) which covers properties of existing and potential drug targets. The authors of the update also describe a major new sister resource, the Guide to Immunopharmacology. An interesting evolutionary perspective on drug targets is provided by ECOdrug (56) which maps the presence or absence of drug target orthologues across species. This will help in efforts to address ecotoxicology concerns over binding of drugs to non-target wild species and assist with appropriate species choices for ecological risk assessments. The popular DrugBank (57) also returns, now in release 5.0 and bringing huge increases in data volume, new data types such as pharmacotranscriptomics and content reporting on the status of clinical trials. A major new resource is the Genome Variation Map (58) from the BIG Data Center covering 19 species. Its arrival is particularly timely with the announcement that comparable NCBI resources dbSNP and dbVar are to stop accepting non-human submissions (https://ncbiinsights.ncbi.nlm.nih.gov/2017/05/09/phasing-out-support-for-non-human-genome-organism-data-in-dbsnp-and-dbvar/).The well-used ClinVar resource (59) also contributes an update and is joined in interpreting human genome variation and its implications for disease by the newcomer VarCards (60). Two interesting new databases, PGG.Population (61) and PopHuman (62) present a population genomics perspective of human genome variation, each containing thousands of human genomes from across the world and allowing interactive exploration of and comparison between populations. Plant databases represented here include the comparative genomics resources PLAZA (63) and Gramene (64). A major new Arabidopsis resource arrives in the form of the AraGWAS catalog (65) which contains hundreds of thousands of links between SNPs and curated phenotypes. In the last section proteomics databases are well-represented. An update is presented on the major quantitative proteomics resource proteomicsDB (66). Its protein-centric view links to an impressive variety of visualisations and to different kinds of omics data. Future plans include an extension from its current human focus to model organisms. An intuitive user interface is also a strong point of the new EPD database (67), while PIT-DB (68) explicitly works at the intersection of RNA-seq transcriptomics and proteomics mass spectrometry. After covering such a variety of biological areas, it seems appropriate to finish with mention of the BioStudies database (69) that collates data of any and all kinds relating to a single study.

NAR ONLINE MOLECULAR BIOLOGY DATABASE COLLECTION

We reach this year the 25th update of the NAR online Molecular Biology Database Collection (which is freely available at http://www.oxfordjournals.org/nar/database/c/), featuring 88 new databases (Table 1) and 15 databases not described previously in the NAR Database Issue (Table 2). Within our ongoing verification processes to make sure information is still relevant, we have removed 47 obsolete or discontinued databases. After contacting their authors, 138 database entries have been updated with respect to new URLs, new descriptions, and/or other metadata. We welcome suggestions for inclusion in the Collection of additional databases that have been published in other journals. Such suggestions should be addressed to XMF at xose.m.fernandez@gmail.com and should include database summaries in plain text, organized in accordance with the http://www.oxfordjournals.org/nar/database/summary/1 template.
  62 in total

1.  MNDR v2.0: an updated resource of ncRNA-disease associations in mammals.

Authors:  Tianyu Cui; Lin Zhang; Yan Huang; Ying Yi; Puwen Tan; Yue Zhao; Yongfei Hu; Liyan Xu; Enmin Li; Dong Wang
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

2.  Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees.

Authors:  Ivica Letunic; Peer Bork
Journal:  Nucleic Acids Res       Date:  2016-04-19       Impact factor: 16.971

3.  ECOdrug: a database connecting drugs and conservation of their targets across species.

Authors:  Bas Verbruggen; Lina Gunnarsson; Erik Kristiansson; Tobias Österlund; Stewart F Owen; Jason R Snape; Charles R Tyler
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

4.  PDBe: towards reusable data delivery infrastructure at protein data bank in Europe.

Authors:  Saqib Mir; Younes Alhroub; Stephen Anyango; David R Armstrong; John M Berrisford; Alice R Clark; Matthew J Conroy; Jose M Dana; Mandar Deshpande; Deepti Gupta; Aleksandras Gutmanas; Pauline Haslam; Lora Mak; Abhik Mukhopadhyay; Nurul Nadzirin; Typhaine Paysan-Lafosse; David Sehnal; Sanchayita Sen; Oliver S Smart; Mihaly Varadi; Gerard J Kleywegt; Sameer Velankar
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

5.  DNA Data Bank of Japan: 30th anniversary.

Authors:  Yuichi Kodama; Jun Mashima; Takehide Kosuge; Eli Kaminuma; Osamu Ogasawara; Kousaku Okubo; Yasukazu Nakamura; Toshihisa Takagi
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

6.  PANTHER version 10: expanded protein families and functions, and analysis tools.

Authors:  Huaiyu Mi; Sagar Poudel; Anushya Muruganujan; John T Casagrande; Paul D Thomas
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

7.  ProteomicsDB.

Authors:  Tobias Schmidt; Patroklos Samaras; Martin Frejno; Siegfried Gessulat; Maximilian Barnert; Harald Kienegger; Helmut Krcmar; Judith Schlegl; Hans-Christian Ehrlich; Stephan Aiche; Bernhard Kuster; Mathias Wilhelm
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

8.  PopHuman: the human population genomics browser.

Authors:  Sònia Casillas; Roger Mulet; Pablo Villegas-Mirón; Sergi Hervas; Esteve Sanz; Daniel Velasco; Jaume Bertranpetit; Hafid Laayouni; Antonio Barbadilla
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

9.  PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations.

Authors:  Chao Zhang; Yang Gao; Jiaojiao Liu; Zhe Xue; Yan Lu; Lian Deng; Lei Tian; Qidi Feng; Shuhua Xu
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

10.  GPCRdb in 2018: adding GPCR structure models and ligands.

Authors:  Gáspár Pándy-Szekeres; Christian Munk; Tsonko M Tsonkov; Stefan Mordalski; Kasper Harpsøe; Alexander S Hauser; Andrzej J Bojarski; David E Gloriam
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

View more
  18 in total

Review 1.  Model organism data evolving in support of translational medicine.

Authors:  Douglas G Howe; Judith A Blake; Yvonne M Bradford; Carol J Bult; Brian R Calvi; Stacia R Engel; James A Kadin; Thomas C Kaufman; Ranjana Kishore; Stanley J F Laulederkind; Suzanna E Lewis; Sierra A T Moxon; Joel E Richardson; Cynthia Smith
Journal:  Lab Anim (NY)       Date:  2018-09-17       Impact factor: 12.625

2.  Why data citation isn't working, and what to do about it.

Authors:  Peter Buneman; Greig Christie; Jamie A Davies; Roza Dimitrellou; Simon D Harding; Adam J Pawson; Joanna L Sharman; Yinjun Wu
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

3.  Enabling semantic queries across federated bioinformatics databases.

Authors:  Ana Claudia Sima; Tarcisio Mendes de Farias; Erich Zbinden; Maria Anisimova; Manuel Gil; Heinz Stockinger; Kurt Stockinger; Marc Robinson-Rechavi; Christophe Dessimoz
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

4.  Analysis of impact metrics for the Protein Data Bank.

Authors:  Christopher Markosian; Luigi Di Costanzo; Monica Sekharan; Chenghua Shao; Stephen K Burley; Christine Zardecki
Journal:  Sci Data       Date:  2018-10-16       Impact factor: 6.444

5.  AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.

Authors:  Lisa Harper; Jacqueline Campbell; Ethalinda K S Cannon; Sook Jung; Monica Poelchau; Ramona Walls; Carson Andorf; Elizabeth Arnaud; Tanya Z Berardini; Clayton Birkett; Steve Cannon; James Carson; Bradford Condon; Laurel Cooper; Nathan Dunn; Christine G Elsik; Andrew Farmer; Stephen P Ficklin; David Grant; Emily Grau; Nic Herndon; Zhi-Liang Hu; Jodi Humann; Pankaj Jaiswal; Clement Jonquet; Marie-Angélique Laporte; Pierre Larmande; Gerard Lazo; Fiona McCarthy; Naama Menda; Christopher J Mungall; Monica C Munoz-Torres; Sushma Naithani; Rex Nelson; Daureen Nesdill; Carissa Park; James Reecy; Leonore Reiser; Lacey-Anne Sanderson; Taner Z Sen; Margaret Staton; Sabarinath Subramaniam; Marcela Karey Tello-Ruiz; Victor Unda; Deepak Unni; Liya Wang; Doreen Ware; Jill Wegrzyn; Jason Williams; Margaret Woodhouse; Jing Yu; Doreen Main
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

6.  NBDC RDF portal: a comprehensive repository for semantic data in life sciences.

Authors:  Shuichi Kawashima; Toshiaki Katayama; Hideki Hatanaka; Tatsuya Kushida; Toshihisa Takagi
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

7.  Eleven quick tips to build a usable REST API for life sciences.

Authors:  Aleksandra Tarkowska; Denise Carvalho-Silva; Charles E Cook; Edd Turner; Robert D Finn; Andrew D Yates
Journal:  PLoS Comput Biol       Date:  2018-12-13       Impact factor: 4.475

8.  OrthoMaM v10: Scaling-Up Orthologous Coding Sequence and Exon Alignments with More than One Hundred Mammalian Genomes.

Authors:  Celine Scornavacca; Khalid Belkhir; Jimmy Lopez; Rémy Dernat; Frédéric Delsuc; Emmanuel J P Douzery; Vincent Ranwez
Journal:  Mol Biol Evol       Date:  2019-04-01       Impact factor: 16.240

Review 9.  Structural biology data archiving - where we are and what lies ahead.

Authors:  Gerard J Kleywegt; Sameer Velankar; Ardan Patwardhan
Journal:  FEBS Lett       Date:  2018-05-25       Impact factor: 4.124

10.  The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease.

Authors:  Alberto Noronha; Jennifer Modamio; Yohan Jarosz; Elisabeth Guerard; Nicolas Sompairac; German Preciat; Anna Dröfn Daníelsdóttir; Max Krecke; Diane Merten; Hulda S Haraldsdóttir; Almut Heinken; Laurent Heirendt; Stefanía Magnúsdóttir; Dmitry A Ravcheev; Swagatika Sahoo; Piotr Gawron; Lucia Friscioni; Beatriz Garcia; Mabel Prendergast; Alberto Puente; Mariana Rodrigues; Akansha Roy; Mouss Rouquaya; Luca Wiltgen; Alise Žagare; Elisabeth John; Maren Krueger; Inna Kuperstein; Andrei Zinovyev; Reinhard Schneider; Ronan M T Fleming; Ines Thiele
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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