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BambooGDB: a bamboo genome database with functional annotation and an analysis platform.

Authors :
Hansheng Zhao
Zhenhua Peng
Benhua Fei
Lubin Li
Tao Hu
Zhimin Gao
Zehui Jiang
Source :
Database: The Journal of Biological Databases & Curation; 2014, Vol. 2014, p1-9, 9p, 3 Color Photographs, 1 Chart
Publication Year :
2014

Abstract

Bamboo, as one of the most important non-timber forest products and fastest-growing plants in the world, represents the only major lineage of grasses that is native to forests. Recent success on the first high-quality draft genome sequence of moso bamboo ( Phyllostachys edulis ) provides new insights on bamboo genetics and evolution. To further extend our understanding on bamboo genome and facilitate future studies on the basis of previous achievements, here we have developed BambooGDB, a bamboo genome database with functional annotation and analysis platform. The de novo sequencing data, together with the full-length complementary DNA and RNA-seq data of moso bamboo composed the main contents of this database. Based on these sequence data, a comprehensively functional annotation for bamboo genome was made. Besides, an analytical platform composed of comparative genomic analysis, protein–protein interactions network, pathway analysis and visualization of genomic data was also constructed. As discovery tools to understand and identify biological mechanisms of bamboo, the platform can be used as a systematic framework for helping and designing experiments for further validation. Moreover, diverse and powerful search tools and a convenient browser were incorporated to facilitate the navigation of these data. As far as we know, this is the first genome database for bamboo. Through integrating high-throughput sequencing data, a full functional annotation and several analysis modules, BambooGDB aims to provide worldwide researchers with a central genomic resource and an extensible analysis platform for bamboo genome. BambooGDB is freely available at http://www.bamboogdb.org/. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17580463
Volume :
2014
Database :
Complementary Index
Journal :
Database: The Journal of Biological Databases & Curation
Publication Type :
Academic Journal
Accession number :
131736725
Full Text :
https://doi.org/10.1093/database/bau006