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2017 ; 15
(1
): 14-18
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GSA: Genome Sequence Archive sup/
#MMPMID28387199
Wang Y
; Song F
; Zhu J
; Zhang S
; Yang Y
; Chen T
; Tang B
; Dong L
; Ding N
; Zhang Q
; Bai Z
; Dong X
; Chen H
; Sun M
; Zhai S
; Sun Y
; Yu L
; Lan L
; Xiao J
; Fang X
; Lei H
; Zhang Z
; Zhao W
Genomics Proteomics Bioinformatics
2017[Feb]; 15
(1
): 14-18
PMID28387199
show ga
With the rapid development of sequencing technologies towards higher throughput
and lower cost, sequence data are generated at an unprecedentedly explosive rate.
To provide an efficient and easy-to-use platform for managing huge sequence data,
here we present Genome Sequence Archive (GSA; http://bigd.big.ac.cn/gsa or
http://gsa.big.ac.cn), a data repository for archiving raw sequence data. In
compliance with data standards and structures of the International Nucleotide
Sequence Database Collaboration (INSDC), GSA adopts four data objects
(BioProject, BioSample, Experiment, and Run) for data organization, accepts raw
sequence reads produced by a variety of sequencing platforms, stores both
sequence reads and metadata submitted from all over the world, and makes all
these data publicly available to worldwide scientific communities. In the era of
big data, GSA is not only an important complement to existing INSDC members by
alleviating the increasing burdens of handling sequence data deluge, but also
takes the significant responsibility for global big data archive and provides
free unrestricted access to all publicly available data in support of research
activities throughout the world.
free
free
free
