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Learning sequence patterns of AGO-sRNA affinity from high-throughput sequencing libraries to improve in silico functional small RNA detection and classification in plants

Lionel Morgado, Ritsert C. Jansen, Frank Johannes
doi: https://doi.org/10.1101/173575
Lionel Morgado
1Groningen Bioinformatics Centre, University of Groningen, Groningen, 9747 AG Groningen, The Netherlands
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  • For correspondence: lionelmorgado@gmail.com
Ritsert C. Jansen
1Groningen Bioinformatics Centre, University of Groningen, Groningen, 9747 AG Groningen, The Netherlands
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Frank Johannes
2Department of Plant Sciences, Technical University of Munich, Freising, 85354 Freising, Germany
3Institute for Advanced Study, Technical University of Munich, Garching, 85748 Garching, Germany
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Posted August 10, 2017.
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Learning sequence patterns of AGO-sRNA affinity from high-throughput sequencing libraries to improve in silico functional small RNA detection and classification in plants
Lionel Morgado, Ritsert C. Jansen, Frank Johannes
bioRxiv 173575; doi: https://doi.org/10.1101/173575
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Learning sequence patterns of AGO-sRNA affinity from high-throughput sequencing libraries to improve in silico functional small RNA detection and classification in plants
Lionel Morgado, Ritsert C. Jansen, Frank Johannes
bioRxiv 173575; doi: https://doi.org/10.1101/173575

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