DDBJ Progress Report

Overview

Journal Nucleic Acids Res

Publisher Oxford University Press

Specialty Biochemistry

Date 2010 Nov 11

PMID 21062814

Citations 21

Authors

Eli Kaminuma

Takehide Kosuge

Yuichi Kodama

Hideo Aono

Jun Mashima

Takashi Gojobori

Hideaki Sugawara

Osamu Ogasawara

Toshihisa Takagi

Kousaku Okubo

Yasukazu Nakamura

Affiliations

Soon will be listed here.

Abstract

The DNA Data Bank of Japan (DDBJ, http://www.ddbj.nig.ac.jp) provides a nucleotide sequence archive database and accompanying database tools for sequence submission, entry retrieval and annotation analysis. The DDBJ collected and released 3,637,446 entries/2,272,231,889 bases between July 2009 and June 2010. A highlight of the released data was archive datasets from next-generation sequencing reads of Japanese rice cultivar, Koshihikari submitted by the National Institute of Agrobiological Sciences. In this period, we started a new archive for quantitative genomics data, the DDBJ Omics aRchive (DOR). The DOR stores quantitative data both from the microarray and high-throughput new sequencing platforms. Moreover, we improved the content of the DDBJ patent sequence, released a new submission tool of the DDBJ Sequence Read Archive (DRA) which archives massive raw sequencing reads, and enhanced a cloud computing-based analytical system from sequencing reads, the DDBJ Read Annotation Pipeline. In this article, we describe these new functions of the DDBJ databases and support tools.

Citing Articles

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Systems biology in the context of big data and networks.

Altaf-Ul-Amin M, Afendi F, Kiboi S, Kanaya S Biomed Res Int. 2014; 2014:428570.

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Genomics and bioinformatics resources for translational science in Rosaceae.

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DDBJ read annotation pipeline: a cloud computing-based pipeline for high-throughput analysis of next-generation sequencing data.

Nagasaki H, Mochizuki T, Kodama Y, Saruhashi S, Morizaki S, Sugawara H DNA Res. 2013; 20(4):383-90.

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