Back to Search Start Over

CGG toolkit: Software components for computational genomics.

Authors :
Vasileiou D
Karapiperis C
Baltsavia I
Chasapi A
Ahrén D
Janssen PJ
Iliopoulos I
Promponas VJ
Enright AJ
Ouzounis CA
Source :
PLoS computational biology [PLoS Comput Biol] 2023 Nov 07; Vol. 19 (11), pp. e1011498. Date of Electronic Publication: 2023 Nov 07 (Print Publication: 2023).
Publication Year :
2023

Abstract

Public-domain availability for bioinformatics software resources is a key requirement that ensures long-term permanence and methodological reproducibility for research and development across the life sciences. These issues are particularly critical for widely used, efficient, and well-proven methods, especially those developed in research settings that often face funding discontinuities. We re-launch a range of established software components for computational genomics, as legacy version 1.0.1, suitable for sequence matching, masking, searching, clustering and visualization for protein family discovery, annotation and functional characterization on a genome scale. These applications are made available online as open source and include MagicMatch, GeneCAST, support scripts for CoGenT-like sequence collections, GeneRAGE and DifFuse, supported by centrally administered bioinformatics infrastructure funding. The toolkit may also be conceived as a flexible genome comparison software pipeline that supports research in this domain. We illustrate basic use by examples and pictorial representations of the registered tools, which are further described with appropriate documentation files in the corresponding GitHub release.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: © 2023 Vasileiou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Details

Language :
English
ISSN :
1553-7358
Volume :
19
Issue :
11
Database :
MEDLINE
Journal :
PLoS computational biology
Publication Type :
Academic Journal
Accession number :
37934729
Full Text :
https://doi.org/10.1371/journal.pcbi.1011498