bioRxivBioinformaticsPreprint
Predicting Functional Associations using Flanking Genes (FlaGs)
Chayan Kumar SahaiD, Rodrigo Sanches PiresiD, Harald Brolin, Maxence DelannoyiD, Gemma Catherine AtkinsoniD
- Citations
- 7
Abstract
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 (Flanking Genes) takes a list of NCBI protein accessions as in 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. FlaGs can be downloaded from https://github.com/GCA-VH-lab/FlaGs or run at www.webflags.se.
- organism: bacteria (other)
- assay: protein sequence
- research focus: gene regulatory network inference
- research focus: database / resource
- research focus: software / tool
- approach: statistical model
- approach: experimental assay
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