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AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast
Genome-wide assays and screens typically result in large lists of genes or proteins. Enrichments of functional or other biological properties within such lists can provide valuable insights and testable hypotheses. To systematically detect these enrichments can be challenging and time-consuming, bec...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644808/ https://www.ncbi.nlm.nih.gov/pubmed/26635866 http://dx.doi.org/10.3389/fgene.2015.00330 |
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author | Bitton, Danny A. Schubert, Falk Dey, Shoumit Okoniewski, Michal Smith, Graeme C. Khadayate, Sanjay Pancaldi, Vera Wood, Valerie Bähler, Jürg |
author_facet | Bitton, Danny A. Schubert, Falk Dey, Shoumit Okoniewski, Michal Smith, Graeme C. Khadayate, Sanjay Pancaldi, Vera Wood, Valerie Bähler, Jürg |
author_sort | Bitton, Danny A. |
collection | PubMed |
description | Genome-wide assays and screens typically result in large lists of genes or proteins. Enrichments of functional or other biological properties within such lists can provide valuable insights and testable hypotheses. To systematically detect these enrichments can be challenging and time-consuming, because relevant data to compare against query gene lists are spread over many different sources. We have developed AnGeLi (Analysis of Gene Lists), an intuitive, integrated web-tool for comprehensive and customized interrogation of gene lists from the fission yeast, Schizosaccharomyces pombe. AnGeLi searches for significant enrichments among multiple qualitative and quantitative information sources, including gene and phenotype ontologies, genetic and protein interactions, numerous features of genes, transcripts, translation, and proteins such as copy numbers, chromosomal positions, genetic diversity, RNA polymerase II and ribosome occupancy, localization, conservation, half-lives, domains, and molecular weight among others, as well as diverse sets of genes that are co-regulated or lead to the same phenotypes when mutated. AnGeLi uses robust statistics which can be tailored to specific needs. It also provides the option to upload user-defined gene sets to compare against the query list. Through an integrated data submission form, AnGeLi encourages the community to contribute additional curated gene lists to further increase the usefulness of this resource and to get the most from the ever increasing large-scale experiments. AnGeLi offers a rigorous yet flexible statistical analysis platform for rich insights into functional enrichments and biological context for query gene lists, thus providing a powerful exploratory tool through which S. pombe researchers can uncover fresh perspectives and unexpected connections from genomic data. AnGeLi is freely available at: www.bahlerlab.info/AnGeLi |
format | Online Article Text |
id | pubmed-4644808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-46448082015-12-03 AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast Bitton, Danny A. Schubert, Falk Dey, Shoumit Okoniewski, Michal Smith, Graeme C. Khadayate, Sanjay Pancaldi, Vera Wood, Valerie Bähler, Jürg Front Genet Genetics Genome-wide assays and screens typically result in large lists of genes or proteins. Enrichments of functional or other biological properties within such lists can provide valuable insights and testable hypotheses. To systematically detect these enrichments can be challenging and time-consuming, because relevant data to compare against query gene lists are spread over many different sources. We have developed AnGeLi (Analysis of Gene Lists), an intuitive, integrated web-tool for comprehensive and customized interrogation of gene lists from the fission yeast, Schizosaccharomyces pombe. AnGeLi searches for significant enrichments among multiple qualitative and quantitative information sources, including gene and phenotype ontologies, genetic and protein interactions, numerous features of genes, transcripts, translation, and proteins such as copy numbers, chromosomal positions, genetic diversity, RNA polymerase II and ribosome occupancy, localization, conservation, half-lives, domains, and molecular weight among others, as well as diverse sets of genes that are co-regulated or lead to the same phenotypes when mutated. AnGeLi uses robust statistics which can be tailored to specific needs. It also provides the option to upload user-defined gene sets to compare against the query list. Through an integrated data submission form, AnGeLi encourages the community to contribute additional curated gene lists to further increase the usefulness of this resource and to get the most from the ever increasing large-scale experiments. AnGeLi offers a rigorous yet flexible statistical analysis platform for rich insights into functional enrichments and biological context for query gene lists, thus providing a powerful exploratory tool through which S. pombe researchers can uncover fresh perspectives and unexpected connections from genomic data. AnGeLi is freely available at: www.bahlerlab.info/AnGeLi Frontiers Media S.A. 2015-11-16 /pmc/articles/PMC4644808/ /pubmed/26635866 http://dx.doi.org/10.3389/fgene.2015.00330 Text en Copyright © 2015 Bitton, Schubert, Dey, Okoniewski, Smith, Khadayate, Pancaldi, Wood and Bähler. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Bitton, Danny A. Schubert, Falk Dey, Shoumit Okoniewski, Michal Smith, Graeme C. Khadayate, Sanjay Pancaldi, Vera Wood, Valerie Bähler, Jürg AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast |
title | AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast |
title_full | AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast |
title_fullStr | AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast |
title_full_unstemmed | AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast |
title_short | AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast |
title_sort | angeli: a tool for the analysis of gene lists from fission yeast |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644808/ https://www.ncbi.nlm.nih.gov/pubmed/26635866 http://dx.doi.org/10.3389/fgene.2015.00330 |
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