Paralog Explorer: A resource for mining information about paralogs in common research organisms.
Bioinformatics resources
Drosophila
Evolution
Model organisms
Paralog
Journal
Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369
Informations de publication
Date de publication:
2022
2022
Historique:
received:
17
07
2022
revised:
21
11
2022
accepted:
21
11
2022
entrez:
5
12
2022
pubmed:
6
12
2022
medline:
6
12
2022
Statut:
epublish
Résumé
Paralogs are genes which arose via gene duplication, and when such paralogs retain overlapping or redundant function, this poses a challenge to functional genetics research. Recent technological advancements have made it possible to systematically probe gene function for redundant genes using dual or multiplex gene perturbation, and there is a need for a simple bioinformatic tool to identify putative paralogs of a gene(s) of interest. We have developed Paralog Explorer (https://www.flyrnai.org/tools/paralogs/), an online resource that allows researchers to quickly and accurately identify candidate paralogous genes in the genomes of the model organisms
Identifiants
pubmed: 36467589
doi: 10.1016/j.csbj.2022.11.041
pii: S2001-0370(22)00535-9
pmc: PMC9712503
doi:
Types de publication
Journal Article
Langues
eng
Pagination
6570-6577Subventions
Organisme : NIGMS NIH HHS
ID : P41 GM132087
Pays : United States
Organisme : NIH HHS
ID : R24 OD021997
Pays : United States
Informations de copyright
© 2022 The Authors.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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