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APRICOT: an integrated computational pipeline for the sequence-based identification and characterization of RNA-binding proteins

View ORCID ProfileMalvika Sharan, View ORCID ProfileKonrad U. Förstner, View ORCID ProfileAna Eulalio, View ORCID ProfileJörg Vogel
doi: https://doi.org/10.1101/055178
Malvika Sharan
1Institute for Molecular Infection Biology, University of Würzburg, Würzburg, Germany
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Konrad U. Förstner
2Core Unit Systems Medicine, University of Würzburg, Würzburg, Germany
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Ana Eulalio
1Institute for Molecular Infection Biology, University of Würzburg, Würzburg, Germany
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Jörg Vogel
1Institute for Molecular Infection Biology, University of Würzburg, Würzburg, Germany
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  • ORCID record for Jörg Vogel
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Article Information

doi 
https://doi.org/10.1101/055178
History 
  • May 24, 2016.
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 4.0 International license.

Author Information

  1. Malvika Sharan1,*,
  2. Konrad U. Förstner2,*,
  3. Ana Eulalio1 and
  4. Jörg Vogel1
  1. 1Institute for Molecular Infection Biology, University of Würzburg, Würzburg, Germany
  2. 2Core Unit Systems Medicine, University of Würzburg, Würzburg, Germany
  1. ↵*To whom correspondence should be addressed
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Posted May 24, 2016.
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APRICOT: an integrated computational pipeline for the sequence-based identification and characterization of RNA-binding proteins
Malvika Sharan, Konrad U. Förstner, Ana Eulalio, Jörg Vogel
bioRxiv 055178; doi: https://doi.org/10.1101/055178
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APRICOT: an integrated computational pipeline for the sequence-based identification and characterization of RNA-binding proteins
Malvika Sharan, Konrad U. Förstner, Ana Eulalio, Jörg Vogel
bioRxiv 055178; doi: https://doi.org/10.1101/055178

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