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dc.contributor.author
Bitton, Danny A.
dc.contributor.author
Schubert, Falk
dc.contributor.author
Dey, Shoumit
dc.contributor.author
Okoniewski, Michal
dc.contributor.author
Smith, Graeme C.
dc.contributor.author
Khadayate, Sanjay
dc.contributor.author
Pancaldi, Vera
dc.contributor.author
Wood, Valerie
dc.contributor.author
Bähler, Jürg
dc.date.accessioned
2019-12-17T15:23:29Z
dc.date.available
2017-06-12T00:24:02Z
dc.date.available
2019-12-17T15:23:29Z
dc.date.issued
2015
dc.identifier.issn
1664-8021
dc.identifier.other
10.3389/fgene.2015.00330
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/112664
dc.identifier.doi
10.3929/ethz-b-000112664
dc.description.abstract
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
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Frontiers Research Foundation
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Gene cluster
en_US
dc.subject
ontology
en_US
dc.subject
S. pombe
en_US
dc.subject
PomBase
en_US
dc.subject
data mining
en_US
dc.subject
database
en_US
dc.subject
Large-scale assay
en_US
dc.subject
Genetic screen
en_US
dc.title
AnGeLi: A tool for the analysis of gene lists from fission yeast
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2015-11-16
ethz.journal.title
Frontiers in Genetics
ethz.journal.volume
6
en_US
ethz.journal.abbreviated
Front. genet.
ethz.pages.start
330
en_US
ethz.size
9 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.identifier.nebis
010194206
ethz.publication.place
Lausanne
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-12T00:29:55Z
ethz.source
ECIT
ethz.identifier.importid
imp59365417d977a99088
ethz.ecitpid
pub:174252
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T20:50:19Z
ethz.rosetta.lastUpdated
2019-12-17T15:23:41Z
ethz.rosetta.versionExported
true
ethz.COinS
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