Singh Bhupinder Pal, Kumar Ajay, Kaur Harpreet, Singh Harpreet, Nagpal Avinash Kaur
I.K. Gujral Punjab Technical University, Kapurthala, 144 603, India.
Centre for I.T. Solutions, Guru Nanak Dev University, Amritsar, 143005, India.
Bioinformation. 2020 Feb 29;16(2):171-175. doi: 10.6026/97320630016171. eCollection 2020.
Chloroplast Genome Database (CpGDB) is user friendly, web-based, freely available and dynamic relational database which provides a platform for researchers to search and download complete chloroplast genome sequences, individual gene sequences and feature records of plant species belonging to same or different families of spermatophytes. Presently, the database consists of genome sequences, individual gene sequences and feature records of chloroplast genomes of 3823 plant species belonging to 1527 genera from 256 families, which will be updated regularly with the availability of new sequences at NCBI. Extensive data mining of feature records from GenBank files, uniform nomenclature for majority of genes, enriched intron/exon feature records makes CpGDB a valuable resource for studies in chloroplast genomics while complementing existing chloroplast databases.
叶绿体基因组数据库（CpGDB）是一个用户友好的、基于网络的、免费可用的动态关系数据库，它为研究人员提供了一个平台，用于搜索和下载种子植物同一或不同科的植物物种的完整叶绿体基因组序列、单个基因序列和特征记录。目前，该数据库包含来自256个科1527个属的3823种植物叶绿体基因组的基因组序列、单个基因序列和特征记录，随着NCBI上新序列的出现，该数据库将定期更新。对GenBank文件中的特征记录进行广泛的数据挖掘、大多数基因的统一命名法、丰富的内含子/外显子特征记录，使得CpGDB成为叶绿体基因组学研究的宝贵资源，同时补充了现有的叶绿体数据库。
