» Articles » PMID: 30357349

DDBJ Update: the Genomic Expression Archive (GEA) for Functional Genomics Data

Overview
Specialty Biochemistry
Date 2018 Oct 26
PMID 30357349
Citations 21
Authors
Affiliations
Soon will be listed here.
Abstract

The Genomic Expression Archive (GEA) for functional genomics data from microarray and high-throughput sequencing experiments has been established at the DNA Data Bank of Japan (DDBJ) Center (https://www.ddbj.nig.ac.jp), which is a member of the International Nucleotide Sequence Database Collaboration (INSDC) with the US National Center for Biotechnology Information and the European Bioinformatics Institute. The DDBJ Center collects nucleotide sequence data and associated biological information from researchers and also services the Japanese Genotype-phenotype Archive (JGA) with the National Bioscience Database Center for collecting human data. To automate the submission process, we have implemented the DDBJ BioSample validator which checks submitted records, auto-corrects their format, and issues error messages and warnings if necessary. The DDBJ Center also operates the NIG supercomputer, prepared for analyzing large-scale genome sequences. We now offer a secure platform specifically to handle personal human genomes. This report describes database activities for INSDC and JGA over the past year, the newly launched GEA, submission, retrieval, and analysis services available in our supercomputer system and their recent developments.

Citing Articles

Generation of Monosomy 21q Human iPS Cells by CRISPR/Cas9-Mediated Interstitial Megabase Deletion.

Egawa M, Uno N, Komazaki R, Ohkame Y, Yamazaki K, Yoshimatsu C Genes Cells. 2024; 30(1):e13184.

PMID: 39581190 PMC: 11655957. DOI: 10.1111/gtc.13184.


DDBJ update in 2023: the MetaboBank for metabolomics data and associated metadata.

Ara T, Kodama Y, Tokimatsu T, Fukuda A, Kosuge T, Mashima J Nucleic Acids Res. 2023; 52(D1):D67-D71.

PMID: 37971299 PMC: 10767850. DOI: 10.1093/nar/gkad1046.


Data Mining of Microarray Datasets in Translational Neuroscience.

OConnor L, OConnor B, Zeng J, Lo C Brain Sci. 2023; 13(9).

PMID: 37759919 PMC: 10527016. DOI: 10.3390/brainsci13091318.


Integrative multi-omics and systems bioinformatics in translational neuroscience: A data mining perspective.

OConnor L, OConnor B, Lim S, Zeng J, Lo C J Pharm Anal. 2023; 13(8):836-850.

PMID: 37719197 PMC: 10499660. DOI: 10.1016/j.jpha.2023.06.011.


A comprehensive survey on computational learning methods for analysis of gene expression data.

Bhandari N, Walambe R, Kotecha K, Khare S Front Mol Biosci. 2022; 9:907150.

PMID: 36458095 PMC: 9706412. DOI: 10.3389/fmolb.2022.907150.


References
1.
Brazma A, Hingamp P, Quackenbush J, Sherlock G, Spellman P, Stoeckert C . Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat Genet. 2001; 29(4):365-71. DOI: 10.1038/ng1201-365. View

2.
Brunak S, Danchin A, Hattori M, Nakamura H, Shinozaki K, Matise T . Nucleotide sequence database policies. Science. 2002; 298(5597):1333. DOI: 10.1126/science.298.5597.1333b. View

3.
Ikeo K, Ishi-i J, Tamura T, Gojobori T, Tateno Y . CIBEX: center for information biology gene expression database. C R Biol. 2004; 326(10-11):1079-82. DOI: 10.1016/j.crvi.2003.09.034. View

4.
Cochrane G, Bates K, Apweiler R, Tateno Y, Mashima J, Kosuge T . Evidence standards in experimental and inferential INSDC Third Party Annotation data. OMICS. 2006; 10(2):105-13. DOI: 10.1089/omi.2006.10.105. View

5.
Rayner T, Rocca-Serra P, Spellman P, Causton H, Farne A, Holloway E . A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB. BMC Bioinformatics. 2006; 7:489. PMC: 1687205. DOI: 10.1186/1471-2105-7-489. View