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Making sense of RNA-Seq data: from low-level processing to functional analysis

Oleg V. Moskvin, Sean McIlwain, Irene M. Ong
doi: https://doi.org/10.1101/010488
Oleg V. Moskvin
1Great Lakes Bioenergy Research Center at University of Wisconsin-Madison, Madison, WI
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  • For correspondence: moskvin@wisc.edu
Sean McIlwain
1Great Lakes Bioenergy Research Center at University of Wisconsin-Madison, Madison, WI
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Irene M. Ong
1Great Lakes Bioenergy Research Center at University of Wisconsin-Madison, Madison, WI
2UW Carbone Cancer Center at University of Wisconsin-Madison, Madison, WI
3Department of Biostatistics and Medical Informatics at University of Wisconsin-Madison, Madison, WI
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Article Information

doi 
https://doi.org/10.1101/010488
History 
  • October 17, 2014.
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. Oleg V. Moskvin1,*,
  2. Sean McIlwain1 and
  3. Irene M. Ong1,2,3
  1. 1Great Lakes Bioenergy Research Center at University of Wisconsin-Madison, Madison, WI
  2. 2UW Carbone Cancer Center at University of Wisconsin-Madison, Madison, WI
  3. 3Department of Biostatistics and Medical Informatics at University of Wisconsin-Madison, Madison, WI
  1. ↵* Corresponding author. Email: moskvin{at}wisc.edu
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Posted October 17, 2014.
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Making sense of RNA-Seq data: from low-level processing to functional analysis
Oleg V. Moskvin, Sean McIlwain, Irene M. Ong
bioRxiv 010488; doi: https://doi.org/10.1101/010488
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Making sense of RNA-Seq data: from low-level processing to functional analysis
Oleg V. Moskvin, Sean McIlwain, Irene M. Ong
bioRxiv 010488; doi: https://doi.org/10.1101/010488

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