Unknown

Dataset Information

0

Standardized metadata for human pathogen/vector genomic sequences.


ABSTRACT: 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.

SUBMITTER: Dugan VG 

PROVIDER: S-EPMC4061050 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

altmetric image

Publications

Standardized metadata for human pathogen/vector genomic sequences.

Dugan Vivien G VG   Emrich Scott J SJ   Giraldo-Calderón Gloria I GI   Harb Omar S OS   Newman Ruchi M RM   Pickett Brett E BE   Schriml Lynn M LM   Stockwell Timothy B TB   Stoeckert Christian J CJ   Sullivan Dan E DE   Singh Indresh I   Ward Doyle V DV   Yao Alison A   Zheng Jie J   Barrett Tanya T   Birren Bruce B   Brinkac Lauren L   Bruno Vincent M VM   Caler Elizabet E   Chapman Sinéad S   Collins Frank H FH   Cuomo Christina A CA   Di Francesco Valentina V   Durkin Scott S   Eppinger Mark M   Feldgarden Michael M   Fraser Claire C   Fricke W Florian WF   Giovanni Maria M   Henn Matthew R MR   Hine Erin E   Hotopp Julie Dunning JD   Karsch-Mizrachi Ilene I   Kissinger Jessica C JC   Lee Eun Mi EM   Mathur Punam P   Mongodin Emmanuel F EF   Murphy Cheryl I CI   Myers Garry G   Neafsey Daniel E DE   Nelson Karen E KE   Nierman William C WC   Puzak Julia J   Rasko David D   Roos David S DS   Sadzewicz Lisa L   Silva Joana C JC   Sobral Bruno B   Squires R Burke RB   Stevens Rick L RL   Tallon Luke L   Tettelin Herve H   Wentworth David D   White Owen O   Will Rebecca R   Wortman Jennifer J   Zhang Yun Y   Scheuermann Richard H RH  

PloS one 20140617 6


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  ...[more]

Similar Datasets

| S-EPMC2808878 | biostudies-literature
| S-EPMC7778935 | biostudies-literature
| S-EPMC7412107 | biostudies-literature
| S-EPMC7145636 | biostudies-literature
| S-EPMC4041001 | biostudies-literature
| S-EPMC86212 | biostudies-literature
| S-EPMC9216561 | biostudies-literature
| S-EPMC2758053 | biostudies-literature
| PRJEB40728 | ENA
| S-EPMC6902006 | biostudies-literature