4.7 Article

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

期刊

BIOINFORMATICS
卷 37, 期 9, 页码 1312-1314

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OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btaa788

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  1. Vetenskapsra det (Swedish Research Council) [2015-04746, 2019-01085]
  2. Umea University Medical Faculty
  3. Umea Centre of Microbial Research (UCMR) Linnaeus Program Gender Policy Support
  4. Swedish Research Council [2015-04746] Funding Source: Swedish Research Council

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FlaGs is a tool for analyzing the conservation of gene neighborhoods, showing utility in molecular evolutionary analysis with its ability to uncover new systems and predict functional associations.
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.

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