GBRAP: A Comprehensive Database and Tool for Exploring Genomic Diversity Across All Domains of Life.

IF 11 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Sachithra Kalhari Yaddehige, Chiara Vischioni, Michele Berselli, Leonardo Alberghini, Massimo Mezzavilla, Tania Bobbo, Cristian Taccioli
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引用次数: 0

Abstract

Evolutionary studies require extensive examination of genomic information across all domains of life. Despite the availability of a large number of genomes through GenBank, the effective visualisation or comparison of the information they contain is challenging due to many reasons, including their size. We introduce GBRAP, a comprehensive software tool to analyse genome files, and an online database housing an extensive collection of carefully curated, high-quality genome statistics for all the organisms available in the RefSeq database of NCBI. Users can either directly search, or select from pre-categorized groups, the organisms of their choice and retrieve data, the output is generated as tables containing more than 200 columns of useful genomic information (Base counts, GC content, Shannon Entropy, Codon Usage etc.) separately calculated for different genomic elements (eg. CDS, Introns, tRNA, rRNA, ncRNA, etc.). The data are independently displayed (if applicable) for each chromosomal, mitochondrial, plastid, or plasmid sequence. All the data can be visualised on the database or downloaded as CSV or Excel files. The GBRAP database is free to access without any registration and is publicly available at http://tacclab.org/gbrap/.

GBRAP:一个探索生命所有领域基因组多样性的综合数据库和工具。
进化研究需要对所有生命领域的基因组信息进行广泛的检查。尽管通过GenBank可以获得大量的基因组,但由于许多原因,包括它们的大小,对它们所包含的信息进行有效的可视化或比较是具有挑战性的。我们介绍了GBRAP,一个全面的软件工具来分析基因组文件,以及一个在线数据库,该数据库包含NCBI RefSeq数据库中所有生物的精心策划的高质量基因组统计数据的广泛收集。用户既可以直接搜索,也可以从预先分类的群体中选择他们选择的生物并检索数据,输出结果生成为包含200多列有用的基因组信息的表(碱基计数,GC含量,香农熵,密码子使用等),分别计算不同的基因组元素(如:CDS、内含子、tRNA、rRNA、ncRNA等)。数据独立显示(如果适用),每个染色体,线粒体,质体,或质粒序列。所有数据都可以在数据库中可视化,也可以下载为CSV或Excel文件。GBRAP数据库无需注册即可免费访问,并可在http://tacclab.org/gbrap/上公开获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular biology and evolution
Molecular biology and evolution 生物-进化生物学
CiteScore
19.70
自引率
3.70%
发文量
257
审稿时长
1 months
期刊介绍: Molecular Biology and Evolution Journal Overview: Publishes research at the interface of molecular (including genomics) and evolutionary biology Considers manuscripts containing patterns, processes, and predictions at all levels of organization: population, taxonomic, functional, and phenotypic Interested in fundamental discoveries, new and improved methods, resources, technologies, and theories advancing evolutionary research Publishes balanced reviews of recent developments in genome evolution and forward-looking perspectives suggesting future directions in molecular evolution applications.
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