Cargando…

Paralog Explorer: A resource for mining information about paralogs in common research organisms

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 o...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Yanhui, Ewen-Campen, Ben, Comjean, Aram, Rodiger, Jonathan, Mohr, Stephanie E., Perrimon, Norbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712503/
https://www.ncbi.nlm.nih.gov/pubmed/36467589
http://dx.doi.org/10.1016/j.csbj.2022.11.041
_version_ 1784841801975201792
author Hu, Yanhui
Ewen-Campen, Ben
Comjean, Aram
Rodiger, Jonathan
Mohr, Stephanie E.
Perrimon, Norbert
author_facet Hu, Yanhui
Ewen-Campen, Ben
Comjean, Aram
Rodiger, Jonathan
Mohr, Stephanie E.
Perrimon, Norbert
author_sort Hu, Yanhui
collection PubMed
description 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 D. melanogaster, C. elegans, D. rerio, M. musculus, and H. sapiens. Paralog Explorer deploys an effective between-species ortholog prediction software, DIOPT, to analyze within-species paralogs. Paralog Explorer allows users to identify candidate paralogs, and to navigate relevant databases regarding gene co-expression, protein–protein and genetic interaction, as well as gene ontology and phenotype annotations. Altogether, this tool extends the value of current ortholog prediction resources by providing sophisticated features useful for identification and study of paralogous genes.
format Online
Article
Text
id pubmed-9712503
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Research Network of Computational and Structural Biotechnology
record_format MEDLINE/PubMed
spelling pubmed-97125032022-12-02 Paralog Explorer: A resource for mining information about paralogs in common research organisms Hu, Yanhui Ewen-Campen, Ben Comjean, Aram Rodiger, Jonathan Mohr, Stephanie E. Perrimon, Norbert Comput Struct Biotechnol J Research Article 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 D. melanogaster, C. elegans, D. rerio, M. musculus, and H. sapiens. Paralog Explorer deploys an effective between-species ortholog prediction software, DIOPT, to analyze within-species paralogs. Paralog Explorer allows users to identify candidate paralogs, and to navigate relevant databases regarding gene co-expression, protein–protein and genetic interaction, as well as gene ontology and phenotype annotations. Altogether, this tool extends the value of current ortholog prediction resources by providing sophisticated features useful for identification and study of paralogous genes. Research Network of Computational and Structural Biotechnology 2022-11-24 /pmc/articles/PMC9712503/ /pubmed/36467589 http://dx.doi.org/10.1016/j.csbj.2022.11.041 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Hu, Yanhui
Ewen-Campen, Ben
Comjean, Aram
Rodiger, Jonathan
Mohr, Stephanie E.
Perrimon, Norbert
Paralog Explorer: A resource for mining information about paralogs in common research organisms
title Paralog Explorer: A resource for mining information about paralogs in common research organisms
title_full Paralog Explorer: A resource for mining information about paralogs in common research organisms
title_fullStr Paralog Explorer: A resource for mining information about paralogs in common research organisms
title_full_unstemmed Paralog Explorer: A resource for mining information about paralogs in common research organisms
title_short Paralog Explorer: A resource for mining information about paralogs in common research organisms
title_sort paralog explorer: a resource for mining information about paralogs in common research organisms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712503/
https://www.ncbi.nlm.nih.gov/pubmed/36467589
http://dx.doi.org/10.1016/j.csbj.2022.11.041
work_keys_str_mv AT huyanhui paralogexploreraresourceformininginformationaboutparalogsincommonresearchorganisms
AT ewencampenben paralogexploreraresourceformininginformationaboutparalogsincommonresearchorganisms
AT comjeanaram paralogexploreraresourceformininginformationaboutparalogsincommonresearchorganisms
AT rodigerjonathan paralogexploreraresourceformininginformationaboutparalogsincommonresearchorganisms
AT mohrstephaniee paralogexploreraresourceformininginformationaboutparalogsincommonresearchorganisms
AT perrimonnorbert paralogexploreraresourceformininginformationaboutparalogsincommonresearchorganisms