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PLoS One DOI:10.1371/journal.pone.0099979

Standardized metadata for human pathogen/vector genomic sequences.

Publication TypeJournal Article
Year of Publication2014
AuthorsDugan, VG, Emrich, SJ, Giraldo-Calderón, GI, Harb, OS, Newman, RM, Pickett, BE, Schriml, LM, Stockwell, TB, Stoeckert, CJ, Sullivan, DE, Singh, I, Ward, DV, Yao, A, Zheng, J, Barrett, T, Birren, B, Brinkac, L, Bruno, VM, Caler, E, Chapman, S, Collins, FH, Cuomo, CA, Di Francesco, V, Durkin, S, Eppinger, M, Feldgarden, M, Fraser, C, W Fricke, F, Giovanni, M, Henn, MR, Hine, E, Hotopp, JDunning, Karsch-Mizrachi, I, Kissinger, JC, Lee, EMi, Mathur, P, Mongodin, EF, Murphy, CI, Myers, G, Neafsey, DE, Nelson, KE, Nierman, WC, Puzak, J, Rasko, D, Roos, DS, Sadzewicz, L, Silva, JC, Sobral, B, R Squires, B, Stevens, RL, Tallon, L, Tettelin, H, Wentworth, D, White, O, Will, R, Wortman, J, Zhang, Y, Scheuermann, RH
JournalPLoS One
Date Published2014
KeywordsAnimals, Communicable Diseases, Databases, Genetic, Datasets as Topic, Disease Vectors, Gene Ontology, Genome, Humans, Reference Standards, Sequence Analysis, DNA, Virulence

High throughput sequencing has accelerated the determination of genome sequences for thousands of human infectious disease pathogens and dozens of their vectors. The scale and scope of these data are enabling genotype-phenotype association studies to identify genetic determinants of pathogen virulence and drug/insecticide resistance, and phylogenetic studies to track the origin and spread of disease outbreaks. To maximize the utility of genomic sequences for these purposes, it is essential that metadata about the pathogen/vector isolate characteristics be collected and made available in organized, clear, and consistent formats. Here we report the development of the GSCID/BRC Project and Sample Application Standard, developed by representatives of the Genome Sequencing Centers for Infectious Diseases (GSCIDs), the Bioinformatics Resource Centers (BRCs) for Infectious Diseases, and the U.S. National Institute of Allergy and Infectious Diseases (NIAID), part of the National Institutes of Health (NIH), informed by interactions with numerous collaborating scientists. It includes mapping to terms from other data standards initiatives, including the Genomic Standards Consortium's minimal information (MIxS) and NCBI's BioSample/BioProjects checklists and the Ontology for Biomedical Investigations (OBI). The standard includes data fields about characteristics of the organism or environmental source of the specimen, spatial-temporal information about the specimen isolation event, phenotypic characteristics of the pathogen/vector isolated, and project leadership and support. By modeling metadata fields into an ontology-based semantic framework and reusing existing ontologies and minimum information checklists, the application standard can be extended to support additional project-specific data fields and integrated with other data represented with comparable standards. The use of this metadata standard by all ongoing and future GSCID sequencing projects will provide a consistent representation of these data in the BRC resources and other repositories that leverage these data, allowing investigators to identify relevant genomic sequences and perform comparative genomics analyses that are both statistically meaningful and biologically relevant.


Alternate JournalPLoS ONE
PubMed ID24936976
PubMed Central IDPMC4061050
Grant ListHHSN272200900038C / / PHS HHS / United States
HHSN272200900007C / / PHS HHS / United States
HHSN272200900040C / / PHS HHS / United States
HHSN272200900039C / / PHS HHS / United States
/ / Intramural NIH HHS / United States
R01GM093132 / GM / NIGMS NIH HHS / United States
HHSN272200900009C / / PHS HHS / United States
HHSN272200900018C / / PHS HHS / United States
HHSN272200900041C / / PHS HHS / United States
U19 AI110818 / AI / NIAID NIH HHS / United States
HHSN266200400041C / / PHS HHS / United States