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Titel: Encyclopedia of tools for the analysis of miRNA isoforms
VerfasserIn: Schmartz, Georges Pierre
Kern, Fabian
Fehlmann, Tobias
Wagner, Viktoria
Fromm, Bastian
Keller, Andreas
Sprache: Englisch
Titel: Briefings in Bioinformatics
Bandnummer: 22 (2021)
Heft: 4
Verlag/Plattform: Oxford University Press
Erscheinungsjahr: 2020
Freie Schlagwörter: microRNA
isomiR
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: RNA sequencing data sets rapidly increase in quantity. For microRNAs (miRNAs), frequently dozens to hundreds of billion reads are generated per study. The quantification of annotated miRNAs and the prediction of new miRNAs are leading computational tasks. Now, the increased depth of coverage allows to gain deeper insights into the variability of miRNAs. The analysis of isoforms of miRNAs (isomiRs) is a trending topic, and a range of computational tools for the analysis of isomiRs has been developed. We provide an overview on 27 available computational solutions for the analysis of isomiRs. These include both stand-alone programs (17 tools) and web-based solutions (10 tools) and span a publication time range from 2010 to 2020. Seven of the tools were published in 2019 and 2020, confirming the rising importance of the topic. While most of the analyzed tools work for a broad range of organisms or are completely independent of a reference organism, several tools have been tailored for the analysis of human miRNA data or for plants. While 14 of the tools are general analysis tools of miRNAs, and isomiR analysis is one of their features, the remaining 13 tools have specifically been developed for isomiR analysis. A direct comparison on 20 deep sequencing data sets for selected tools provides insights into the heterogeneity of results. With our work, we provide users a comprehensive overview on the landscape of isomiR analysis tools and in that support the selection of the most appropriate tool for their respective research task.
DOI der Erstveröffentlichung: 10.1093/bib/bbaa346
URL der Erstveröffentlichung: https://doi.org/10.1093/bib/bbaa346
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-408117
hdl:20.500.11880/36672
http://dx.doi.org/10.22028/D291-40811
ISSN: 1477-4054
1467-5463
Datum des Eintrags: 24-Okt-2023
Bezeichnung des in Beziehung stehenden Objekts: Supplementary Data
In Beziehung stehendes Objekt: https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/bib/22/4/10.1093_bib_bbaa346/1/supplemental-table-1_bbaa346.xlsx?Expires=1701155990&Signature=NMf7qVTqCeZQrJxIQcRe-krNr9E7pjXa-a1R~EhIsmP5KzFXG6~EVW9i~dh1qRB7jmP4Jjd7frjji0alJ3R7vVPNogPsIRXCaN4QCaozkVpYs0xejYf6OXRf5M3BH8Acn1JwPhYywDKNVuc2JuN69wd3MvPM8WS0MJ5zzWD8n6Ug2HcnD1ssg-nkcR89cshCGEYfN2Vry5EQvYim9Ob0Q9nGp9wqxPcCqNavgZ494lTuoT3pciatZYzRgBBs6MeDWnTLLg1j0GB3OV3bGfGVt6s9kmQcb6MV8sc5Sq83Mov45dJdLWmAUKM06377W-0ufwVowBpNxEfMxxZ29p~Ldg__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professur: M - Univ.-Prof. Dr. Andreas Keller
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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