Studies on gene clusters proved to be an excellent source of information to understand genomes evolution and identifying specific metabolic pathways or gene families. Improvements in sequencing methods have resulted in a large increase of sequenced genomes for which cluster annotation could be performed and standardized. Currently available programs are developed to search for specific cluster types and none of them is suitable for a broad range of user-based choices. We have developed ClusterScan which allows identifying clusters of any kind of feature simply based on their genomic coordinates and user-defined categorical annotations.

ClusterScan: simple and generalistic identification of genomic clusters / Volpe, Massimiliano; Miralto, Marco; Gustincich, Stefano; Sanges, Remo. - In: BIOINFORMATICS. - ISSN 1367-4803. - 34:22(2018), pp. 3921-3923. [10.1093/bioinformatics/bty486]

ClusterScan: simple and generalistic identification of genomic clusters

Gustincich, Stefano
Membro del Collaboration group
;
Sanges, Remo
Project Administration
2018

Abstract

Studies on gene clusters proved to be an excellent source of information to understand genomes evolution and identifying specific metabolic pathways or gene families. Improvements in sequencing methods have resulted in a large increase of sequenced genomes for which cluster annotation could be performed and standardized. Currently available programs are developed to search for specific cluster types and none of them is suitable for a broad range of user-based choices. We have developed ClusterScan which allows identifying clusters of any kind of feature simply based on their genomic coordinates and user-defined categorical annotations.
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Volpe, Massimiliano; Miralto, Marco; Gustincich, Stefano; Sanges, Remo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/85976
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