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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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Article Information

doi 
https://doi.org/10.1101/173575
History 
  • August 10, 2017.

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  • Version 2 (August 12, 2017 - 13:04).
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Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Lionel Morgado1,*,
  2. Ritsert C. Jansen1 and
  3. Frank Johannes2,3
  1. 1Groningen Bioinformatics Centre, University of Groningen, Groningen, 9747 AG Groningen, The Netherlands
  2. 2Department of Plant Sciences, Technical University of Munich, Freising, 85354 Freising, Germany
  3. 3Institute for Advanced Study, Technical University of Munich, Garching, 85748 Garching, Germany
  1. ↵*To whom correspondence should be addressed. Email: lionelmorgado{at}gmail.com
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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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