Database Center for Life Science (DBCLS) has been tackling the problem how to organize big data in lifescience including huge amount of nucleotide sequence data from next generation sequencers(next-gen sequence data) and various types of gene expression data.

bono@dbcls.rois.ac.jp

http://dbcls.rois.ac.jp/en/

paper: https://pag.confex.com/pag/xxiii/recordingredirect.cgi/id/1481

AOE - Statistics and trends of gene expression data: http://aoe.dbcls.jp/en/
DBCLS SRA - Statistics and trends of SRA data: http://sra.dbcls.jp/
Gendoo - Functional profiling of gene and disease features for omics analysis: http://gendoo.dbcls.jp/
GGGenome - An ultrafast sequence search: http://gggenome.dbcls.jp/en/
GGRNA - A Google-like, ultrafast search engine for genes and transcripts: http://ggrna.dbcls.jp/en/
RefEx - Reference Expression dataset for tissue transcriptome: http://refex.dbcls.jp/index.php?lang=en

cyoun

Researchers should cite this work as follows:

• (2024), "Database Center for Life Science (DBCLS)," https://sciencegateways.org/resources/databasecenterforlifesciencedbcls.

  BibTex | EndNote

1. biological database
2. Gene
3. sequence data