Computational approaches to discovering noncoding RNA

Publication type:
Journal article
Metadata:
Autoren
  • Paul M Krzyzanowski
  • Enrique M Muro
  • Miguel A Andrade-Navarro
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000305119300010&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1002/wrna.1121
eISSN
1757-7012
Externe Identifier
  • Clarivate Analytics Document Solution ID: 956WC
  • PubMed Identifier: 22555938
ISSN
1757-7004
Ausgabe der Veröffentlichung
4
Zeitschrift
WILEY INTERDISCIPLINARY REVIEWS-RNA
Paginierung
567 - 579
Datum der Veröffentlichung
2012
Status
Published
Titel
Computational approaches to discovering noncoding RNA
Sub types
  • Review
Ausgabe der Zeitschrift
3

Data source: Web of Science (Lite)

Other metadata sources:
Abstract
<jats:title>Abstract</jats:title><jats:p>New developments are being brought to the field of molecular biology with the mounting evidence that RNA transcripts not translated into protein (noncoding RNAs, ncRNAs) hold a variety of biological functions. Computational discovery of ncRNAs is one of these developments, fueled not only by the urge to characterize these sequences but also by necessity to prioritize ones with the most relevant functions for experimental verification. The heterogeneity in size and mode of activity of ncRNAs is reflected in the corresponding diversity of computational methods for their study. Sequence and structural analysis, conservation across species, and relative position to other genomic elements are being used for ncRNA detection. In addition, the recent development of techniques that allow deep sequencing of cell transcripts either globally or from isolated ncRNA‐related material is leading the field toward increased use of such high‐throughput data. We expect that imminent breakthroughs will include the classification of newer types of ncRNA and new insights into miRNA and piRNA biology, eventually leading toward the completion of a catalog of all human ncRNAs. <jats:italic>WIREs RNA</jats:italic> 2012, 3:567–579. doi: 10.1002/wrna.1121</jats:p><jats:p>This article is categorized under: <jats:list list-type="explicit-label"> <jats:list-item><jats:p>RNA Evolution and Genomics &gt; Computational Analyses of RNA</jats:p></jats:list-item> <jats:list-item><jats:p>Regulatory RNAs/RNAi/Riboswitches &gt; Regulatory RNAs</jats:p></jats:list-item> </jats:list></jats:p>
Autoren
  • Paul M Krzyzanowski
  • Enrique M Muro
  • Miguel A Andrade‐Navarro
DOI
10.1002/wrna.1121
eISSN
1757-7012
ISSN
1757-7004
Ausgabe der Veröffentlichung
4
Zeitschrift
WIREs RNA
Sprache
en
Online publication date
2012
Paginierung
567 - 579
Datum der Veröffentlichung
2012
Status
Published
Herausgeber
Wiley
Herausgeber URL
http://dx.doi.org/10.1002/wrna.1121
Datum der Datenerfassung
2023
Titel
Computational approaches to discovering noncoding RNA
Ausgabe der Zeitschrift
3

Data source: Crossref

Abstract
New developments are being brought to the field of molecular biology with the mounting evidence that RNA transcripts not translated into protein (noncoding RNAs, ncRNAs) hold a variety of biological functions. Computational discovery of ncRNAs is one of these developments, fueled not only by the urge to characterize these sequences but also by necessity to prioritize ones with the most relevant functions for experimental verification. The heterogeneity in size and mode of activity of ncRNAs is reflected in the corresponding diversity of computational methods for their study. Sequence and structural analysis, conservation across species, and relative position to other genomic elements are being used for ncRNA detection. In addition, the recent development of techniques that allow deep sequencing of cell transcripts either globally or from isolated ncRNA-related material is leading the field toward increased use of such high-throughput data. We expect that imminent breakthroughs will include the classification of newer types of ncRNA and new insights into miRNA and piRNA biology, eventually leading toward the completion of a catalog of all human ncRNAs.
Addresses
  • Ontario Cancer Institute, Toronto, Ontario, Canada.
Autoren
  • Paul M Krzyzanowski
  • Enrique M Muro
  • Miguel A Andrade-Navarro
DOI
10.1002/wrna.1121
eISSN
1757-7012
Externe Identifier
  • PubMed Identifier: 22555938
Open access
false
ISSN
1757-7004
Ausgabe der Veröffentlichung
4
Zeitschrift
Wiley interdisciplinary reviews. RNA
Schlüsselwörter
  • Animals
  • Humans
  • Bacteria
  • Viruses
  • RNA, Untranslated
  • Sequence Analysis, RNA
  • Computational Biology
  • Molecular Biology
Sprache
eng
Medium
Print-Electronic
Online publication date
2012
Paginierung
567 - 579
Datum der Veröffentlichung
2012
Status
Published
Datum der Datenerfassung
2012
Titel
Computational approaches to discovering noncoding RNA.
Sub types
  • Review
  • Journal Article
Ausgabe der Zeitschrift
3

Data source: Europe PubMed Central

Abstract
New developments are being brought to the field of molecular biology with the mounting evidence that RNA transcripts not translated into protein (noncoding RNAs, ncRNAs) hold a variety of biological functions. Computational discovery of ncRNAs is one of these developments, fueled not only by the urge to characterize these sequences but also by necessity to prioritize ones with the most relevant functions for experimental verification. The heterogeneity in size and mode of activity of ncRNAs is reflected in the corresponding diversity of computational methods for their study. Sequence and structural analysis, conservation across species, and relative position to other genomic elements are being used for ncRNA detection. In addition, the recent development of techniques that allow deep sequencing of cell transcripts either globally or from isolated ncRNA-related material is leading the field toward increased use of such high-throughput data. We expect that imminent breakthroughs will include the classification of newer types of ncRNA and new insights into miRNA and piRNA biology, eventually leading toward the completion of a catalog of all human ncRNAs.
Autoren
  • Paul M Krzyzanowski
  • Enrique M Muro
  • Miguel A Andrade-Navarro
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/22555938
DOI
10.1002/wrna.1121
eISSN
1757-7012
Ausgabe der Veröffentlichung
4
Zeitschrift
Wiley Interdiscip Rev RNA
Schlüsselwörter
  • Animals
  • Bacteria
  • Computational Biology
  • Humans
  • Molecular Biology
  • RNA, Untranslated
  • Sequence Analysis, RNA
  • Viruses
Sprache
eng
Country
United States
Paginierung
567 - 579
Datum der Veröffentlichung
2012
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2012
Titel
Computational approaches to discovering noncoding RNA.
Sub types
  • Journal Article
  • Review
Ausgabe der Zeitschrift
3

Data source: PubMed

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