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Systematic evaluation of statistical methods for identifying looping interactions in 5C data

Thomas G. Gilgenast, View ORCID ProfileJennifer E. Phillips-Cremins
doi: https://doi.org/10.1101/201681
Thomas G. Gilgenast
1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104
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Jennifer E. Phillips-Cremins
1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104
2Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
3Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104
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  • ORCID record for Jennifer E. Phillips-Cremins
  • For correspondence: jcremins@seas.upenn.edu
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Article Information

doi 
https://doi.org/10.1101/201681
History 
  • October 11, 2017.
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. Thomas G. Gilgenast1 and
  2. Jennifer E. Phillips-Cremins1,2,3,**
  1. 1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104
  2. 2Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
  3. 3Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104
  1. ↵**Corresponding author: jcremins{at}seas.upenn.edu
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Posted October 11, 2017.
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Systematic evaluation of statistical methods for identifying looping interactions in 5C data
Thomas G. Gilgenast, Jennifer E. Phillips-Cremins
bioRxiv 201681; doi: https://doi.org/10.1101/201681
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Systematic evaluation of statistical methods for identifying looping interactions in 5C data
Thomas G. Gilgenast, Jennifer E. Phillips-Cremins
bioRxiv 201681; doi: https://doi.org/10.1101/201681

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