Literature DB >> 26740669

The 2016 database issue of Nucleic Acids Research and an updated molecular biology database collection.

Daniel J Rigden1, Xosé M Fernández-Suárez2, Michael Y Galperin3.   

Abstract

The 2016 Database Issue of Nucleic Acids Research starts with overviews of the resources provided by three major bioinformatics centers, the U.S. National Center for Biotechnology Information (NCBI), the European Bioinformatics Institute (EMBL-EBI) and Swiss Institute for Bioinformatics (SIB). Also included are descriptions of 62 new databases and updates on 95 databases that have been previously featured in NAR plus 17 previously described elsewhere. A number of papers in this issue deal with resources on nucleic acids, including various kinds of non-coding RNAs and their interactions, molecular dynamics simulations of nucleic acid structure, and two databases of super-enhancers. The protein database section features important updates on the EBI's Pfam, PDBe and PRIDE databases, as well as a variety of resources on pathways, metabolomics and metabolic modeling. This issue also includes updates on popular metagenomics resources, such as MG-RAST, EBI Metagenomics, and probeBASE, as well as a newly compiled Human Pan-Microbe Communities database. A significant fraction of the new and updated databases are dedicated to the genetic basis of disease, primarily cancer, and various aspects of drug research, including resources for patented drugs, their side effects, withdrawn drugs, and potential drug targets. A further six papers present updated databases of various antimicrobial and anticancer peptides. The entire Database Issue is freely available online on the Nucleic Acids Research website (http://nar.oxfordjournals.org/). The NAR online Molecular Biology Database Collection, http://www.oxfordjournals.org/nar/database/c/, has been updated with the addition of 88 new resources and removal of 23 obsolete websites, which brought the current listing to 1685 databases. Published by Oxford University Press on behalf of Nucleic Acids Research 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Entities:  

Mesh:

Year:  2016        PMID: 26740669      PMCID: PMC4702933          DOI: 10.1093/nar/gkv1356

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


NEW AND UPDATED DATABASES

The 2016 Nucleic Acids Research Database Issue is the 23rd annual collection of descriptions of various molecular biology databases. It includes 178 papers, of which 62 describe newly created databases (Table 1), 95 papers provide updates on databases that have been described in the previous NAR Database Issues and 17 contain updates on databases whose descriptions have previously been published in other journals (Table 2).
Table 1.

Descriptions of new online databases in the 2016 NAR Database issue

Database nameURLBrief description
AgingCharthttp://www.agingchart.org/Pathways of age-related processes
Assemblyhttp://www.ncbi.nlm.nih.gov/assemblyStatus of whole-genome shotgun assemblies
BacWGSTdbhttp://bacdb.org/BacWGSTdb/Bacterial whole genome sequence typing database
BIGNASimhttp://mmb.irbbarcelona.org/BIGNASim/Molecular dynamics simulations of nucleic acids
BreCAN-DBhttp://brecandb.igib.res.in/Breakpoint profiles of cancer genomes
Cancer RNA-Seq Nexushttp://syslab4.nchu.edu.tw/CRNTranscriptome profiling in cancer cells
CauloBrowserhttp://www.caulobrowser.orgBiology of Caulobacter crescentus
ccmGDBhttp://bioinfo.mc.vanderbilt.edu/ccmGDB/Cancer cell metabolism gene database
CEGAhttp://cega.ezlab.org/Conserved elements from genomic alignments
CircNethttp://circnet.mbc.nctu.edu.twTissue-specific expression profiles of circular RNA
Colorectal Cancer Atlashttp://www.colonatlas.orgGenes and proteins of colorectal cancer cells
CRISPRzhttp://research.nhgri.nih.gov/crisprzCRISPR single guide RNAs to zebrafish genes
CSDBhttp://csdb.glycoscience.ru/databaseCarbohydrate structure database
DASHRhttp://lisanwanglab.org/DASHRDatabase of human small non-coding RNA
dbMAEhttp://mae.hms.harvard.eduDatabase of monoallelic gene expression
dbSUPERhttp://bioinfo.au.tsinghua.edu.cn/dbsuper/A database of super-enhancers
DESMhttp://www.cbrc.kaust.edu.sa/desmMicrobial knowledge exploration systems
DIDAhttp://dida.ibsquare.beDIgenic disease database
Digital Development Databasehttp://cell-lineage.orgC. elegans development and cell differentiation
DMDDhttp://dmdd.org.ukDeciphering the mechanisms of developmental disorder
EK3Dhttp://www.iith.ac.in/EK3D/Capsular polysaccharide (K antigen) structures of various E. coli serotypes
ENCODE DCChttp://www.encodeproject.orgENCODE (Encyclopedia of DNA Elements) consortium data portal
FLOR-IDhttp://www.flor-id.org/Flowering interactive database
GEneSTATIONhttp://www.genestation.orgGenes in gestation: genomics of pregnancy-related tissues
GlyTouCanhttps://glytoucan.orgInternational glycan Structure Repository
GreeNChttp://greenc.sciencedesigners.com/Green non-coding: plant lncRNAs
HGTreehttp://hgtree.snu.ac.krHorizontally transferred genes identified by tree-based methods
HPMCDhttp://www.hpmcd.org/Human pan-microbial communities database
hPSCreghttp://hpscreg.euHuman pluripotent stem cell registry
IC4Rhttp://ic4r.orgInformation commons for rice
InsectBasehttp://www.insect-genome.com/Insect genomes and transcriptomes
InterRNAhttp://mfrlab.org/interrna/Base interactions in RNA structures
JuncDBhttp://juncdb.carmelab.huji.ac.il/Exon-exon junction database
Lnc2Cancerhttp://www.bio-bigdata.com/lnc2cancer/Human lncRNA and cancer associations
MERAVhttp://merav.wi.mit.eduMetabolic gene rapid visualizer
Metabolomics Workbenchhttp://www.metabolomicsworkbench.org/Metabolomics data, standards and protocols
MitoAgehttp://www.mitoage.orgMitochondrial DNA properties and aging
MutationAlignerhttp://www.mutationaligner.orgMutation hotspots in protein domains in cancer
NBDBhttp://nbdb.bii.a-star.edu.sgNucleotide binding protein motifs
OpenTeinhttp://opentein.hgc.jp/Open teratoma investigation: images
PCOSKBhttp://pcoskb.bicnirrh.res.in/Polycystic ovary syndrome knowledgebase
PDBflexhttp://pdbflex.orgFlexibility in protein structures
PhytoPathhttp://www.phytopathdb.org/Genomics of fungal, oomycete and bacterial phytopathogens
piRNAclusterDBhttp://www.smallrnagroup-mainz.de/piRNAclusterDB.htmlClusters of piRNAs
PlanMinehttp://planmine.mpi-cbg.de/Planarian genomics
PlantDHShttp://plantdhs.orgPlant DNase I- hypersensitive Sites
RBP-Varhttp://www.rbp-var.biols.ac.cn/Variation that can affect RNA-protein interactions
RMBasehttp://mirlab.sysu.edu.cn/rmbase/RNA modification database
RPFdbhttp://sysbio.sysu.edu.cn/rpfdb/Ribosome profiling database
SATPdbhttp://crdd.osdd.net/raghava/satpdb/Structurally annotated therapeutic peptides
SBR-Bloodhttp://sbrblood.nhgri.nih.govSystems biology repository for hematopoietic cells
SEAhttp://sea.edbc.orgSuper enhancer archive
SigMolhttp://bioinfo.imtech.res.in/manojk/sigmolQuorum sensing signalling molecules
SIGNORhttp://signor.uniroma2.it/Signaling network open resource
sORFshttp://www.sorfs.orgSmall ORFs identified by ribosome profiling
Start2Foldhttp://start2fold.euHydrogen/deuterium exchange data on protein folding and stability
SureChEMBLhttps://www.surechembl.org/Chemical compounds in patent documents
SynLethDBhttp://histone.sce.ntu.edu.sg/SynLethDB/Synthetic lethality gene pairs as potential anticancer drug targets
TCGA SpliceSeqhttp://projects.insilico.us.com/TCGASpliceSeqAlternative splicing patterns in cancer cells
UEThttp://mammoth.bcm.tmc.edu/uet/Universal evolutionary trace: protein motifs important for function
WeGEThttp://coexpression.cmbi.umcn.nl/Weighted gene co-expression tool
WITHDRAWNhttp://cheminfo.charite.de/withdrawn/Withdrawn and discontinued drugs
Table 2.

Updated description of databases most recently published elsewhere

Database nameURLBrief description
ANISEEDhttp://www.aniseed.cnrs.frAscidian network for in situ expression and embryological data
BiGG Modelshttp://bigg.ucsd.eduBiochemically, genetically and genomically structured metabolic network models
CPPsitehttp://crdd.osdd.net/raghava/cppsite/Validated cell penetrating peptides
DBAASPhttp://dbaasp.orgDatabase of antimicrobial activity and structure of peptides
DGIdbhttp://dgidb.genome.wustl.eduDrug-gene interaction database
iGNMhttp://gnmdb.csb.pitt.edu/Protein functional motions based on Gaussian network model
IIDahttp://ophid.utoronto.ca/iidIntegrated interactions database: tissue-specific protein-protein interactions
iPPI-DBhttp://www.ippidb.cdithem.fr/Inhibitors of protein-protein interactions
KLIFShttp://klifs.vu-compmedchem.nlKinase-ligand interaction fingerprints and structures
MG-RASThttp://metagenomics.anl.gov/Data portal for processing, analyzing, sharing and disseminating metagenomic data sets
MitoCartahttp://www.broadinstitute.org/pubs/ MitoCartaMouse and human mitochondrial proteins
MNXref/MetaNetXhttp://www.metanetx.orgGenome-scale metabolic networks
MouseNethttp://www.inetbio.org/mousenet/Functional network of mouse genes
PlantPANhttp://PlantPAN2.itps.ncku.edu.twPlant promoter analysis navigator
SIDERhttp://sideeffects.embl.de/Side effect resource: adverse drug reactions
sRNATarBaseahttp://ccb1.bmi.ac.cn/srnatarbase/sRNA-target interactions in bacteria
SugarBindDBhttp://sugarbind.expasy.orgHost-pathogen interactions mediated by glycans

aIID and sRNATarBase have been previously listed in the NAR Database Collection as entries nos. 897 and 1832, respectively.

aIID and sRNATarBase have been previously listed in the NAR Database Collection as entries nos. 897 and 1832, respectively. This year's issue is again divided into eight sections that deal with (i) nucleic acid sequence and structure; (ii) protein sequence and structure; (iii) metabolic and signaling pathways; (iv) viruses, bacteria, protozoa and fungi; (v) genomes of human and model organisms; (vi) human diseases and drugs; (vii) plants and (viii) other topics, including mitochondrial databases and databases of chemical compounds. It should be noted, however, that these general categories may only partly reflect the database scope, so we encourage the reader to browse the entire table of contents: a useful database might be found in a totally unexpected bin. As an example, a researcher interested in G-protein coupled receptors would obviously be drawn to the dedicated resource GPCRdb (1), but would also find value in the broader IUPHAR/BPS Guide to Pharmacology (2), the two databases assigned to different sections based on their slightly different foci. The Nucleic Acids Research online Molecular Biology Database Collection, which is available at http://www.oxfordjournals.org/nar/database/a/, retains the same 15 categories and 41 subcategories as it did before. The current issue opens with brief overviews of the resources provided by three major bioinformatics centers, the U.S. National Center for Biotechnology Information (NCBI), the European Bioinformatics Institute (EMBL-EBI), and Swiss Institute for Bioinformatics (SIB). These papers cover the recent developments and ongoing efforts at these centers and provide a general introduction into their activities that should be useful for both experienced and novice users. One more introductory paper describes the web resources that are supported by ELIXIR, the European life-sciences infrastructure for biological information, and presents a listing of their providers. This ELIXIR Tools and Data Services Registry aims to be a comprehensive and consistent registry of information about (mostly) European bioinformatics databases and tools. In addition to the annual papers from the International Nucleotide Sequence Database collaboration (INSDC), which comprises the DNA Data Bank of Japan, the European Nucleotide Archive, and GenBank, this issue introduces the NCBI's new Assembly database (http://www.ncbi.nlm.nih.gov/assembly/), which helps track the progress of the genome assembly data in GenBank as the genome sequence progresses from a set of unordered contigs to a draft genome assembly and finally to a complete genome that includes either a single chromosome or multiple chromosomes (3). Among newly created nucleic acid sequence resources, it is worth noting the Conserved Elements from Genomic Alignments (CEGA) database, a collection of non-coding sequences that are poorly characterized but highly conserved within various groups of vertebrates and include potential promoters, enhancers, and other regulatory elements (4), and a database of exon-exon junction sequences, aptly named JuncDB (5). Two more new databases, dbSUPER and SEA (6,7), collect the sequences of super-enhancers, the recently discovered regulatory elements that consist of clusters of transcriptional enhancers and regulate gene expression in a cell- and tissue-specific fashion (8). Other noteworthy contributions include updates on Dfam, a database of human DNA repeat families; ARESite, a resource on AU-rich elements in vertebrate UTRs; NPIDB, a nuclear-protein interaction database which proposes a new classification of DNA-protein complexes, and such popular databases of transcriptional regulation as JASPAR, HOCOMOCO, ORegAnno and RegulonDB. A potentially important new contribution is the BIGNAsim database of DNA dynamics based on molecular dynamics simulations using the ParmBSC1 force field (9). A separate block of papers features various RNA databases, including resources on 5S rRNA, tRNA, piRNA, circular RNA, long non-coding RNA and their interactions. The protein sequence section features, among others, updates on such popular protein families databases as Pfam, PANTHER, eggNOG, GPCRdb, Transporter Classification database (TCDB), and two databases of proteases and protease inhibitors, MEROPS, which is now in its 20th year, and Degradome. The Pfam update paper deserves a particularly careful reading because it provides a detailed description of the recent and upcoming changes in this popular database as it attempts to cope with the rapidly increasing amount of sequence data. The authors see the solution in transitioning Pfam from attempting to incorporate the entire UniProt sequence database to focusing instead on the UniProt reference proteomes (at least for seed alignments), a much smaller set of higher-quality protein sequences (10). With respect to protein sequence motifs, there is an update on the Eukaryotic Linear Motif (ELM) database and two new resources: the Nucleotide Binding Database (NBDB) of nucleotide-binding motifs and the Universal Evolutionary Trace (UET) database of predicted protein functional sites (11–13). The proteomics databases are represented by sORF, a collection of small ORFs identified by ribosome profiling (14), and updates on the widely used databases on proteomic peptide identification (PRIDE) and post-translational modifications (dbPTM) (15,16). The protein structure-related papers include an update from PDBe (17) reporting significant improvements to the value added to and accessibility of structure reports. A trio of papers cover different aspects of protein folding, flexibility and dynamics: Start2Fold collates experimental hydrogen/deuterium exchange data, PDBFlex provides statistics of and animations between pairs of homologous structures in the PDB, and iGNM offers improved computationally predicted flexibility information for most PDB entries (18–20). Two databases use CATH structural domain classifications to shed light on protein function, Gene3D by assigning domain annotations and associated function predictions to proteomes and FunTree by attempting to better understand the evolution of protein function in superfamiles. Finally, the biological and medicinal interest in kinases fully justifies the effort spent in updating KLIFS, a database dedicated to a detailed understanding of kinase-ligand interactions. The next section includes updated resources on metabolic pathways, such as KEGG, MetaCyc, Reactome, WikiPathways and the Escherichia coli metabolism database (ECMDB), and databases of metabolic network modeling, such as BiGG Models and MNXref/MetaNetX. A new arrival here is the Metabolomics Workbench (21), which strives to be a one-stop repository for all kinds of metabolomics data, including metabolite standards, protocols, tutorials and analysis tools. Coverage of organismal genome diversity is provided by the updated Ensembl Genomes and Bacterial Diversity (BacDive) databases (22,23), as well as specialized resources dedicated to Caulobacter, Pseudomonas and Bacillus subtilis (24–26). The current issue also includes updates on popular metagenomics resources, such as MG-RAST, EBI Metagenomics and probeBASE (27–29), as well as the newly compiled Human Pan-Microbe Communities database (30). Another new arrival, the bacterial whole-genome sequence typing database BacWGST, aims to simplify the important task of identifying the bacterial strains in samples isolated from infection (31). As in previous years, this Database Issue includes a selection of genome resources for human and model organisms (Ensembl, RefSeq, UCSC Genome Browser, ENCODE portal), including yeast (SGD), C. elegans (WormBase), Drosophila (FlyBase), ants, bees and wasps (Hymenoptera Genome Database), cow and mouse. The new arrivals include a collection of insect genome resources and genome databases of planaria and ascidians (32–34). A very interesting Deciphering the Mechanisms of Developmental Disorders (DMDD) database collects phenotypic data of mouse mutant embryos (35). This section also includes the database of autosomal monoallelic gene expression (dbMAE, (36)), which has been chosen by the NAR editors as one of the two Breakthrough papers in this issue. dbMAE provides manually curated data on allele-specific expression of autosomal genes, whereby the transcriptional activity of two alleles is epigenetically controlled and maintained in a clonal cell lineage, resulting in diversification of cells within the same tissue (37). dbMAE promises to become a useful resource that will help researchers achieve a better understanding of this recently emerged epigenetic phenomenon. A significant fraction of the databases profiled in this issue (including ClinVar, GWASdb, HaploReg and others) are dedicated to human genetic variation as it relates to disease, primarily cancer, and various aspects of drug research. These include resources on patented drugs, their side effects, withdrawn drugs, and potential drug targets (38–40). Six papers in this section present updated databases of various antimicrobial and anticancer peptides. An interesting work, also chosen by the NAR editors as a Breakthrough paper, describes the newly compiled Database of Digenic Diseases (DIDA), which collects data on such diseases as Bardet-Biedl and Kallmann syndromes that are caused by single nucleotide variants or small indels in specific pairs of genes (41). This issue also presents updates on the widely used databases of small molecules, NCBI's PubChem and EBI's ChEBI, and introduces SureChEMBL, the recently created database of chemicals found in patent documents (42–44). Two new glycoinformatics resources, the Carbohydrate Structure Database (CSDB) and the International Glycan Structure Repository (GlyTouCan), collect knowledge and facilitate further research on these important but often-overlooked compounds (45,46). Ten papers describe various plant databases, including an update on the popular Plant Promoter Analysis Navigator (47) and Information Commons for Rice (IC4R), a compendium of Chinese databases on all aspects of rice research (48). Finally, there are three databases on mitochondrial research: MitoCarta and MitoMiner, two excellent databases of mitochondrial proteins, and MitoAge, a database of mitochondrial DNA properties from various organisms (49–51).

UPDATED NAR ONLINE MOLECULAR BIOLOGY DATABASE COLLECTION

This year's update of the NAR online Molecular Biology Database Collection (which is freely available at http://www.oxfordjournals.org/nar/database/c/) involved inclusion of 62 new databases (Table 1) and 15 databases that have been previously described elsewhere and were not part of this Collection (Table 2). In addition, the Collection has been expanded by including such databases as Integrative Cancer Genomics (IntOGen) and Disease Variant Store (DIVAS) (52,53). Our curation checks revealed 121 non-responsive databases, of which 23 obsolete entries have been removed from the Collection and the rest marked for potential removal next year. In addition, 26 entries in the Collection have been updated with respect to their URLs, descriptions, and/or author contact information. We welcome suggestions for inclusion in the Collection of additional databases that have been published in other journals. Such suggestions should be addressed to XMFS 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.
  50 in total

Review 1.  Autosomal monoallelic expression: genetics of epigenetic diversity?

Authors:  Virginia Savova; Sébastien Vigneau; Alexander A Gimelbrant
Journal:  Curr Opin Genet Dev       Date:  2013-09-24       Impact factor: 5.578

2.  SEA: a super-enhancer archive.

Authors:  Yanjun Wei; Shumei Zhang; Shipeng Shang; Bin Zhang; Song Li; Xinyu Wang; Fang Wang; Jianzhong Su; Qiong Wu; Hongbo Liu; Yan Zhang
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

3.  Integrative cancer genomics (IntOGen) in Biomart.

Authors:  Christian Perez-Llamas; Gunes Gundem; Nuria Lopez-Bigas
Journal:  Database (Oxford)       Date:  2011-09-07       Impact factor: 3.451

4.  ANISEED 2015: a digital framework for the comparative developmental biology of ascidians.

Authors:  Matija Brozovic; Cyril Martin; Christelle Dantec; Delphine Dauga; Mickaël Mendez; Paul Simion; Madeline Percher; Baptiste Laporte; Céline Scornavacca; Anna Di Gregorio; Shigeki Fujiwara; Mathieu Gineste; Elijah K Lowe; Jacques Piette; Claudia Racioppi; Filomena Ristoratore; Yasunori Sasakura; Naohito Takatori; Titus C Brown; Frédéric Delsuc; Emmanuel Douzery; Carmela Gissi; Alex McDougall; Hiroki Nishida; Hitoshi Sawada; Billie J Swalla; Hitoyoshi Yasuo; Patrick Lemaire
Journal:  Nucleic Acids Res       Date:  2015-09-29       Impact factor: 16.971

5.  BacDive--the Bacterial Diversity Metadatabase.

Authors:  Carola Söhngen; Boyke Bunk; Adam Podstawka; Dorothea Gleim; Jörg Overmann
Journal:  Nucleic Acids Res       Date:  2013-11-07       Impact factor: 16.971

6.  Carbohydrate structure database merged from bacterial, archaeal, plant and fungal parts.

Authors:  Philip V Toukach; Ksenia S Egorova
Journal:  Nucleic Acids Res       Date:  2015-08-18       Impact factor: 16.971

7.  DIVAS: a centralized genetic variant repository representing 150,000 individuals from multiple disease cohorts.

Authors:  Wei-Yi Cheng; Jörg Hakenberg; Shuyu Dan Li; Rong Chen
Journal:  Bioinformatics       Date:  2015-09-12       Impact factor: 6.937

8.  PubChem Substance and Compound databases.

Authors:  Sunghwan Kim; Paul A Thiessen; Evan E Bolton; Jie Chen; Gang Fu; Asta Gindulyte; Lianyi Han; Jane He; Siqian He; Benjamin A Shoemaker; Jiyao Wang; Bo Yu; Jian Zhang; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2015-09-22       Impact factor: 16.971

9.  HPMCD: the database of human microbial communities from metagenomic datasets and microbial reference genomes.

Authors:  Samuel C Forster; Hilary P Browne; Nitin Kumar; Martin Hunt; Hubert Denise; Alex Mitchell; Robert D Finn; Trevor D Lawley
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

10.  Control of cell identity genes occurs in insulated neighborhoods in mammalian chromosomes.

Authors:  Jill M Dowen; Zi Peng Fan; Denes Hnisz; Gang Ren; Brian J Abraham; Lyndon N Zhang; Abraham S Weintraub; Jurian Schujiers; Tong Ihn Lee; Keji Zhao; Richard A Young
Journal:  Cell       Date:  2014-10-09       Impact factor: 41.582

View more
  27 in total

1.  Innate immunity kinase TAK1 phosphorylates Rab1 on a hotspot for posttranslational modifications by host and pathogen.

Authors:  Rebecca S Levin; Nicholas T Hertz; Alma L Burlingame; Kevan M Shokat; Shaeri Mukherjee
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-01       Impact factor: 11.205

2.  Symptom Science: Repurposing Existing Omics Data.

Authors:  Nicole D Osier; Christopher C Imes; Heba Khalil; Jamie Zelazny; Ann E Johansson; Yvette P Conley
Journal:  Biol Res Nurs       Date:  2016-09-20       Impact factor: 2.522

Review 3.  Genomics pipelines and data integration: challenges and opportunities in the research setting.

Authors:  Jeremy Davis-Turak; Sean M Courtney; E Starr Hazard; W Bailey Glen; Willian A da Silveira; Timothy Wesselman; Larry P Harbin; Bethany J Wolf; Dongjun Chung; Gary Hardiman
Journal:  Expert Rev Mol Diagn       Date:  2017-01-25       Impact factor: 5.225

Review 4.  Systemic QSAR and phenotypic virtual screening: chasing butterflies in drug discovery.

Authors:  Maykel Cruz-Monteagudo; Stephan Schürer; Eduardo Tejera; Yunierkis Pérez-Castillo; José L Medina-Franco; Aminael Sánchez-Rodríguez; Fernanda Borges
Journal:  Drug Discov Today       Date:  2017-03-06       Impact factor: 7.851

Review 5.  A roadmap for multi-omics data integration using deep learning.

Authors:  Mingon Kang; Euiseong Ko; Tesfaye B Mersha
Journal:  Brief Bioinform       Date:  2022-01-17       Impact factor: 11.622

6.  Structural basis of Omicron immune evasion: A comparative computational study.

Authors:  Darshan Contractor; Christoph Globisch; Shiv Swaroop; Alok Jain
Journal:  Comput Biol Med       Date:  2022-06-20       Impact factor: 6.698

7.  BioCarian: search engine for exploratory searches in heterogeneous biological databases.

Authors:  Nazar Zaki; Chandana Tennakoon
Journal:  BMC Bioinformatics       Date:  2017-10-02       Impact factor: 3.169

Review 8.  Genetic Research and Women's Heart Disease: a Primer.

Authors:  Maryam Kavousi; Lawrence F Bielak; Patricia A Peyser
Journal:  Curr Atheroscler Rep       Date:  2016-11       Impact factor: 5.113

9.  Ten Simple Rules for Developing Public Biological Databases.

Authors:  Mohamed Helmy; Alexander Crits-Christoph; Gary D Bader
Journal:  PLoS Comput Biol       Date:  2016-11-10       Impact factor: 4.475

10.  Developing integrated crop knowledge networks to advance candidate gene discovery.

Authors:  Keywan Hassani-Pak; Martin Castellote; Maria Esch; Matthew Hindle; Artem Lysenko; Jan Taubert; Christopher Rawlings
Journal:  Appl Transl Genom       Date:  2016-11-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.