PanWeb: A web interface for pan-genomic analysis.

作者信息

Pantoja Yan, Pinheiro Kenny, Veras Allan, Araújo Fabrício, Lopes de Sousa Ailton, Guimarães Luis Carlos, Silva Artur, Ramos Rommel T J

机构信息

Institute of Biological Sciences, Federal University Pará, Belém, Pará, Brazil.

出版信息

PLoS One. 2017 May 24;12(5):e0178154. doi: 10.1371/journal.pone.0178154. eCollection 2017.

Abstract

With increased production of genomic data since the advent of next-generation sequencing (NGS), there has been a need to develop new bioinformatics tools and areas, such as comparative genomics. In comparative genomics, the genetic material of an organism is directly compared to that of another organism to better understand biological species. Moreover, the exponentially growing number of deposited prokaryote genomes has enabled the investigation of several genomic characteristics that are intrinsic to certain species. Thus, a new approach to comparative genomics, termed pan-genomics, was developed. In pan-genomics, various organisms of the same species or genus are compared. Currently, there are many tools that can perform pan-genomic analyses, such as PGAP (Pan-Genome Analysis Pipeline), Panseq (Pan-Genome Sequence Analysis Program) and PGAT (Prokaryotic Genome Analysis Tool). Among these software tools, PGAP was developed in the Perl scripting language and its reliance on UNIX platform terminals and its requirement for an extensive parameterized command line can become a problem for users without previous computational knowledge. Thus, the aim of this study was to develop a web application, known as PanWeb, that serves as a graphical interface for PGAP. In addition, using the output files of the PGAP pipeline, the application generates graphics using custom-developed scripts in the R programming language. PanWeb is freely available at http://www.computationalbiology.ufpa.br/panweb.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f28f/5443543/cff028bf7b16/pone.0178154.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索