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miRA: adaptable novel miRNA identification in plants using small RNA sequencing data

Evers, Maurits, Huttner, Michael, Dueck, Anne, Meister, Gunter and Engelmann, Julia C. (2015) miRA: adaptable novel miRNA identification in plants using small RNA sequencing data. BMC Bioinformatics 16 (370), pp. 1-10.

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Date of publication of this fulltext: 16 Nov 2015 15:14

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Other URL: http://www.biomedcentral.com/1471-2105/16/370


MicroRNAs (miRNAs) are short regulatory RNAs derived from longer precursor RNAs. miRNA biogenesis has been studied in animals and plants, recently elucidating more complex aspects, such as non-conserved, species-specific, and heterogeneous miRNA precursor populations. Small RNA sequencing data can help in computationally identifying genomic loci of miRNA precursors. The challenge is to predict a ...


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Item type:Article
Date:5 November 2015
Institutions:Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Biology, Preclinical Medicine > Institut für Biochemie, Genetik und Mikrobiologie > Lehrstuhl für Biochemie I > Prof. Dr. Gunter Meister
Projects:Open Access Publizieren (DFG)
Identification Number:
Keywords:Sequencing data; miRNA identification; RNA secondary structure; Chlamydomonas reinhardtii ; Small RNA sequencing; Next generation sequencing
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
500 Science > 570 Life sciences
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:32812
Owner only: item control page


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