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FlaGs and webFlaGs: discovering novel biology through the analysis of gene neighbourhood conservation
Umeå Univ, Dept Mol Biol, S-90187 Umeå, Sweden.;Umeå Univ, Umeå Ctr Microbial Res, S-90187 Umeå, Sweden..ORCID iD: 0000-0002-5357-517X
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemistry.
Univ Gothenburg, Dept Mol & Clin Med, Wallenberg Lab, S-41345 Gothenburg, Sweden..
Univ Nice Sophia Antipolis, Dept Genie Biol, Campus SophiaTech, F-06900 Nice, France..
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2020 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 37, no 9, p. 1312-1314Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Oxford University Press (OUP) , 2020. Vol. 37, no 9, p. 1312-1314
National Category
Bioinformatics and Computational Biology
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URN: urn:nbn:se:kth:diva-299061DOI: 10.1093/bioinformatics/btaa788ISI: 000670795400017PubMedID: 32956448Scopus ID: 2-s2.0-85098455152OAI: oai:DiVA.org:kth-299061DiVA, id: diva2:1582323
Note

QC 20210730

Available from: 2021-07-30 Created: 2021-07-30 Last updated: 2025-02-07Bibliographically approved

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Pires, Rodrigo Sanches

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