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srnaMapper: an optimal mapping tool for sRNA-Seq reads

Matthias Zytnicki, Christine Gaspin
doi: https://doi.org/10.1101/2021.01.12.426326
Matthias Zytnicki
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  • For correspondence: matthias.zytnicki@inra.fr
Christine Gaspin
1INRAE
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Abstract

Motivation Sequencing is the key method to study the impact of short RNAs, which include micro RNAs, tRNA-derived RNAs, and piwi-interacting RNA, among other. The first step to make use of these reads is to map them to a genome. Existing mapping tools have been developed for the long RNAs in mind, and, so far, no tool has been conceived for short RNAs. However, short RNAs have several distinctive features which make them different from messenger RNAs: they are shorter (not greater than 200bp), they often redundant, they can be produced by duplicated loci, and they may be edited at their ends.

Results In this work, we present a new tool, srnaMapper, that maps these reads with all these objectives in mind. We show on two data sets that srnaMapper is more efficient considering computation time and edition error handling: it quickly retrieves all the hits, with arbitrary number of errors.

Availability srnaMapper source code is available at https://github.com/mzytnicki/srnaMapper.

Contact matthias.zytnicki{at}inrae.fr

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted January 12, 2021.
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srnaMapper: an optimal mapping tool for sRNA-Seq reads
Matthias Zytnicki, Christine Gaspin
bioRxiv 2021.01.12.426326; doi: https://doi.org/10.1101/2021.01.12.426326
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srnaMapper: an optimal mapping tool for sRNA-Seq reads
Matthias Zytnicki, Christine Gaspin
bioRxiv 2021.01.12.426326; doi: https://doi.org/10.1101/2021.01.12.426326

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