clinker & clustermap.js: automatic generation of gene cluster comparison figures

Abstract Summary Genes involved in biological pathways are often collocalised in gene clusters, the comparison of which can give valuable insights into their function and evolutionary history. However, comparison and visualization of gene cluster similarity is a tedious process, particularly when ma...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Bioinformatics (Oxford, England) Ročník 37; číslo 16; s. 2473 - 2475
Hlavní autori: Gilchrist, Cameron L M, Chooi, Yit-Heng
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Oxford University Press 25.08.2021
Oxford Publishing Limited (England)
Predmet:
Availability
Bioinformatics
Biological activity
Clinker
Gene clusters
Source code
Visualization
ISSN:1367-4803, 1367-4811, 1367-4811
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Abstract Summary Genes involved in biological pathways are often collocalised in gene clusters, the comparison of which can give valuable insights into their function and evolutionary history. However, comparison and visualization of gene cluster similarity is a tedious process, particularly when many clusters are being compared. Here, we present clinker, a Python based tool and clustermap.js, a companion JavaScript visualization library, which used together can automatically generate accurate, interactive, publication-quality gene cluster comparison figures directly from sequence files. Availability and implementation Source code and documentation for clinker and clustermap.js is available on GitHub (github.com/gamcil/clinker and github.com/gamcil/clustermap.js, respectively) under the MIT license. clinker can be installed directly from the Python Package Index via pip. Supplementary information Supplementary data are available at Bioinformatics online.
Bibliografia:SourceType-Scholarly Journals-1
content type line 14
ObjectType-Report-1
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:1367-4803
1367-4811
1367-4811
DOI:10.1093/bioinformatics/btab007