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MISIS: A bioinformatics tool to view and analyze maps of small RNAs derived from viruses and genomic loci generating multiple small RNAs

Seguin, Jonathan and Otten, Patricia and Baerlocher, Loic and Farinelli, Laurent and Pooggin, Mikhail M.. (2014) MISIS: A bioinformatics tool to view and analyze maps of small RNAs derived from viruses and genomic loci generating multiple small RNAs. Journal of virological methods, Vol. 195. S. 120-122.

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Official URL: http://edoc.unibas.ch/dok/A6205475

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Abstract

In eukaryotes, diverse small RNA (sRNA) populations including miRNAs, siRNAs and piRNAs regulate gene expression and repress transposons, transgenes and viruses. Functional sRNAs are associated with effector proteins based on their size and nucleotide composition. The sRNA populations are currently analyzed by deep sequencing that generates millions of reads which are then mapped to a reference sequence or database. Here we developed a tool called MISIS to view and analyze sRNA maps of genomic loci and viruses which spawn multiple sRNAs. MISIS displays sRNA reads as a histogram where the x-axis indicates positions of the 5'- or 3'-terminal nucleotide of sense and antisense sRNAs, respectively, along a given reference sequence or its selected region and the y-axis the number of reads starting (for sense sRNA) or ending (for antisense sRNA) at each position. Size-classes of sRNAs can be visualized and compared separately or in combination. Thus, MISIS gives an overview of sRNA distribution along the reference sequence as well as detailed information on single sRNA species of different size-classes and abundances. MISIS reads standard BAM/SAM files outputted by mapping tools and generates table files containing counts of sRNA reads at each position of the reference sequence forward and reverse strand and for each of the chosen size-classes of sRNAs. These table files can be used by other tools such as Excel for further quantitative analysis and visualization. MISIS is a Java standalone program. It is freely available along with the source code at the following website: http://www.fasteris.com/apps.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Botanisches Institut > Pflanzenphysiologie Pathogenabwehr (Boller)
UniBasel Contributors:Pooggin, Mikhail and Seguin, Jonathan
Item Type:Article, refereed
Bibsysno:Link to catalogue
Publisher:Elsevier
ISSN:0166-0934
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:10 Apr 2015 09:12
Deposited On:31 Jan 2014 09:49

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