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Rail-RNA: Scalable analysis of RNA-seq splicing and coverage

Abhinav Nellore, Leonardo Collado-Torres, Andrew E. Jaffe, José Alquicira-Hernández, Jacob Pritt, James Morton, Jeffrey T. Leek, Ben Langmead
doi: https://doi.org/10.1101/019067
Abhinav Nellore
1Department of Computer Science, Johns Hopkins University
2Department of Biostatistics, Johns Hopkins University
3Center for Computational Biology, Johns Hopkins University
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Leonardo Collado-Torres
2Department of Biostatistics, Johns Hopkins University
3Center for Computational Biology, Johns Hopkins University
4Lieber Institute for Brain Development, Johns Hopkins Medical Campus
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Andrew E. Jaffe
2Department of Biostatistics, Johns Hopkins University
3Center for Computational Biology, Johns Hopkins University
4Lieber Institute for Brain Development, Johns Hopkins Medical Campus
5Department of Mental Health, Johns Hopkins University
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José Alquicira-Hernández
2Department of Biostatistics, Johns Hopkins University
6Undergraduate Program on Genomic Sciences, National Autonomous University of Mexico
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Jacob Pritt
1Department of Computer Science, Johns Hopkins University
3Center for Computational Biology, Johns Hopkins University
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James Morton
7Department of Computer Science, University of Colorado Boulder
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Jeffrey T. Leek
2Department of Biostatistics, Johns Hopkins University
3Center for Computational Biology, Johns Hopkins University
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Ben Langmead
1Department of Computer Science, Johns Hopkins University
2Department of Biostatistics, Johns Hopkins University
3Center for Computational Biology, Johns Hopkins University
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Article Information

doi 
https://doi.org/10.1101/019067
History 
  • August 12, 2015.

Article Versions

  • Version 1 (May 7, 2015 - 15:01).
  • You are viewing Version 2, the most recent version of this article.
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-NC 4.0 International license.

Author Information

  1. Abhinav Nellore1,2,3,
  2. Leonardo Collado-Torres2,3,4,
  3. Andrew E. Jaffe2,3,4,5,
  4. José Alquicira-Hernández2,6,
  5. Jacob Pritt1,3,
  6. James Morton7,
  7. Jeffrey T. Leek2,3 and
  8. Ben Langmead1,2,3
  1. 1Department of Computer Science, Johns Hopkins University
  2. 2Department of Biostatistics, Johns Hopkins University
  3. 3Center for Computational Biology, Johns Hopkins University
  4. 4Lieber Institute for Brain Development, Johns Hopkins Medical Campus
  5. 5Department of Mental Health, Johns Hopkins University
  6. 6Undergraduate Program on Genomic Sciences, National Autonomous University of Mexico
  7. 7Department of Computer Science, University of Colorado Boulder
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Posted August 12, 2015.
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Rail-RNA: Scalable analysis of RNA-seq splicing and coverage
Abhinav Nellore, Leonardo Collado-Torres, Andrew E. Jaffe, José Alquicira-Hernández, Jacob Pritt, James Morton, Jeffrey T. Leek, Ben Langmead
bioRxiv 019067; doi: https://doi.org/10.1101/019067
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Rail-RNA: Scalable analysis of RNA-seq splicing and coverage
Abhinav Nellore, Leonardo Collado-Torres, Andrew E. Jaffe, José Alquicira-Hernández, Jacob Pritt, James Morton, Jeffrey T. Leek, Ben Langmead
bioRxiv 019067; doi: https://doi.org/10.1101/019067

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