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A cloud-based workflow to quantify transcript-expression levels in public cancer compendia

PJ Tatlow, Stephen R. Piccolo
doi: https://doi.org/10.1101/063552
PJ Tatlow
1Department of Biology, Brigham Young University, Provo, Utah, USA
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Stephen R. Piccolo
1Department of Biology, Brigham Young University, Provo, Utah, USA
2Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
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  • For correspondence: stephen_piccolo@byu.edu
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Posted July 12, 2016.
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A cloud-based workflow to quantify transcript-expression levels in public cancer compendia
PJ Tatlow, Stephen R. Piccolo
bioRxiv 063552; doi: https://doi.org/10.1101/063552
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A cloud-based workflow to quantify transcript-expression levels in public cancer compendia
PJ Tatlow, Stephen R. Piccolo
bioRxiv 063552; doi: https://doi.org/10.1101/063552

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