DBCLS SRA: Functional Characterization of Public NGS Data

High-throughput sequencing, also called next-generation sequencing (NGS), makes it easy to perform omics analysis with non-classical model organisms. DDBJ, EBI, and NCBI capture a large amount of NGS data, and launch public database, the Sequence Read Archive (SRA). As of October 2015, 4 peta bp of reads are archived in about 60,000 projects. We categorized SRA data by study types (e. g. whole genome study, transcriptomics, and metagenomics), sequencing platforms, and species or cell lines of samples. To visualize these information, we developed a web-service called DBCLS SRA (http://sra.dbcls.jp/). By using DBCLS SRA, researchers can search NGS data of their interest including child taxonomies at once. For example, they can retrieve Oryza sativa indica or japonica data by searching Oryza sativa. Users also list up other Oryza species data as a parent taxonomy.

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