FlaGs and webFlaGs: discovering novel biology through the analysis of gene neighbourhood conservation

Author:

Saha Chayan Kumar1,Sanches Pires Rodrigo2,Brolin Harald3,Delannoy Maxence4,Atkinson Gemma Catherine1ORCID

Affiliation:

1. Department of Molecular Biology and Umeå Centre for Microbial Research, Umeå University, Umeå 901 87, Sweden

2. Department of Chemistry, KTH Royal Institute of Technology, Stockholm 100 44, Sweden

3. Department of Molecular and Clinical Medicine, Wallenberg Laboratory, University of Gothenburg, Gothenburg 413 45, Sweden

4. Département Génie Biologique, Campus SophiaTech, Université Nice Sophia Antipolis, Nice 06900, France

Abstract

Abstract Summary Analysis of conservation of gene neighbourhoods over different evolutionary levels is important for understanding operon and gene cluster evolution, and predicting functional associations. Our tool FlaGs (standing for Flanking Genes) takes a list of NCBI protein accessions as input, clusters neighbourhood-encoded proteins into homologous groups using sensitive sequence searching, and outputs a graphical visualization of the gene neighbourhood and its conservation, along with a phylogenetic tree annotated with flanking gene conservation. FlaGs has demonstrated utility for molecular evolutionary analysis, having uncovered a new toxin–antitoxin system in prokaryotes and bacteriophages. The web tool version of FlaGs (webFlaGs) can optionally include a BLASTP search against a reduced RefSeq database to generate an input accession list and analyse neighbourhood conservation within the same run. Availability and implementation FlaGs can be downloaded from https://github.com/GCA-VH-lab/FlaGs or run online at http://www.webflags.se/. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Vetenskapsrådet (the Swedish Research Council

Umeå University Medical Faculty

Umeå Centre of Microbial Research (UCMR) Linnaeus Program Gender Policy Support

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference17 articles.

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