Exploration of miRNA families for hypotheses generation.

Handle URI:
http://hdl.handle.net/10754/334531
Title:
Exploration of miRNA families for hypotheses generation.
Authors:
Kamanu, T.K.; Radovanovic, A.; Archer, John A.C. ( 0000-0002-3302-3933 ) ; Bajic, Vladimir B. ( 0000-0001-5435-4750 )
Abstract:
Technological improvements have resulted in increased discovery of new microRNAs (miRNAs) and refinement and enrichment of existing miRNA families. miRNA families are important because they suggest a common sequence or structure configuration in sets of genes that hint to a shared function. Exploratory tools to enhance investigation of characteristics of miRNA families and the functions of family-specific miRNA genes are lacking. We have developed, miRNAVISA, a user-friendly web-based tool that allows customized interrogation and comparisons of miRNA families for hypotheses generation, and comparison of per-species chromosomal distribution of miRNA genes in different families. This study illustrates hypothesis generation using miRNAVISA in seven species. Our results unveil a subclass of miRNAs that may be regulated by genomic imprinting, and also suggest that some miRNA families may be species-specific, as well as chromosome- and/or strand-specific.
KAUST Department:
Computational Bioscience Research Center (CBRC)
Citation:
Kamanu TKK, Radovanovic A, Archer JAC, Bajic VB (2013) Exploration of miRNA families for hypotheses generation. Sci Rep 3. doi:10.1038/srep02940.
Publisher:
Nature Publishing Group
Journal:
Scientific reports
Issue Date:
15-Oct-2013
DOI:
10.1038/srep02940
PubMed ID:
24126940
PubMed Central ID:
PMC3796740
Type:
Article
ISSN:
20452322
Appears in Collections:
Articles; Computational Bioscience Research Center (CBRC)

Full metadata record

DC FieldValue Language
dc.contributor.authorKamanu, T.K.en
dc.contributor.authorRadovanovic, A.en
dc.contributor.authorArcher, John A.C.en
dc.contributor.authorBajic, Vladimir B.en
dc.date.accessioned2014-11-11T14:28:39Z-
dc.date.available2014-11-11T14:28:39Z-
dc.date.issued2013-10-15en
dc.identifier.citationKamanu TKK, Radovanovic A, Archer JAC, Bajic VB (2013) Exploration of miRNA families for hypotheses generation. Sci Rep 3. doi:10.1038/srep02940.en
dc.identifier.issn20452322en
dc.identifier.pmid24126940en
dc.identifier.doi10.1038/srep02940en
dc.identifier.urihttp://hdl.handle.net/10754/334531en
dc.description.abstractTechnological improvements have resulted in increased discovery of new microRNAs (miRNAs) and refinement and enrichment of existing miRNA families. miRNA families are important because they suggest a common sequence or structure configuration in sets of genes that hint to a shared function. Exploratory tools to enhance investigation of characteristics of miRNA families and the functions of family-specific miRNA genes are lacking. We have developed, miRNAVISA, a user-friendly web-based tool that allows customized interrogation and comparisons of miRNA families for hypotheses generation, and comparison of per-species chromosomal distribution of miRNA genes in different families. This study illustrates hypothesis generation using miRNAVISA in seven species. Our results unveil a subclass of miRNAs that may be regulated by genomic imprinting, and also suggest that some miRNA families may be species-specific, as well as chromosome- and/or strand-specific.en
dc.language.isoenen
dc.publisherNature Publishing Groupen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/3.0/en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en
dc.subjectmicroRNAen
dc.subjectbiologyen
dc.subjectgeneticsen
dc.subjectgenomicsen
dc.subjectmethodologyen
dc.subjectmultigene familyen
dc.subjectplanten
dc.subjectspecies differenceen
dc.subjectweb browseren
dc.subjectComputational Biologyen
dc.subjectGenomicsen
dc.subjectMicroRNAsen
dc.subjectMultigene Familyen
dc.subjectPlantsen
dc.subjectSpecies Specificityen
dc.subjectWeb Browseren
dc.titleExploration of miRNA families for hypotheses generation.en
dc.typeArticleen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.identifier.journalScientific reportsen
dc.identifier.pmcidPMC3796740en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorKamanu, Timothy K Ken
kaust.authorRadovanovic, Aleksandaren
kaust.authorArcher, John A.C.en
kaust.authorBajic, Vladimir B.en

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