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Title

CpGDB : A Comprehensive Database of Chloroplast Genomes

Authors

Bhupinder Pal Singh1,2, Ajay Kumar3, Harpreet Kaur4, Harpreet Singh5, Avinash Kaur Nagpal4*

 

Affiliation

1I.K.Gujral Punjab Technical University, Kapurthala, 144 603, India; 2Centre for I.T. Solutions, Guru Nanak Dev University, Amritsar, 143005, India; 3Electronics and Communication Engineering Department, Beant College of Engineering and Technology, Gurdaspur, 143521, India; 4Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, 143005, India; 5Department of Bioinformatics, Hans Raj Mahila Maha Vidyalaya, Jalandhar, 144008, India.

 

Email

Bhupinder Pal Singh–E-mail: bhupinderpalsingh@hotmail.com; Ajay Kumar –E-mail: ajaykm_20@yahoo.co.in; Harpreet Kaur – E-mail: preet.botany@gmail.com; Harpreet Singh – E-mail: harpreetsingh05@gmail.com; Avinash Kaur Nagpal - E-mail: avnagpal@yahoo.co.in; *Corresponding author

 

Article Type

Research Article

 

Date

Received January 30, 2020; Accepted February 20, 2020; Published February 29, 2020

Abstract

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.

 

Keywords

Chloroplast Genomes, Gene Sequences, Database

 

Citation

Singh et al. Bioinformation 16(2): 171-175 (2020)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.