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LR-DNase: Predicting TF binding from DNase-seq data

View ORCID ProfileArjan van der Velde, View ORCID ProfileMichael Purcaro, William Stafford Noble, Zhiping Weng
doi: https://doi.org/10.1101/082594
Arjan van der Velde
1Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
2Bioinformatics Program, Boston University, Boston, MA 02215, USA
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  • ORCID record for Arjan van der Velde
  • For correspondence: zhiping.weng@umassmed.edu arjan.vandervelde@umassmed.edu
Michael Purcaro
1Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
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William Stafford Noble
3Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
4Department of Computer Science and Engineering, University of Washington, Seattle, WA 98105, USA
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Zhiping Weng
1Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
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  • For correspondence: zhiping.weng@umassmed.edu arjan.vandervelde@umassmed.edu
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Article Information

doi 
https://doi.org/10.1101/082594
History 
  • October 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. All rights reserved. No reuse allowed without permission.

Author Information

  1. Arjan van der Velde*,1,2,
  2. Michael Purcaro1,
  3. William Stafford Noble3,4 and
  4. Zhiping Weng*,1
  1. 1Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
  2. 2Bioinformatics Program, Boston University, Boston, MA 02215, USA
  3. 3Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
  4. 4Department of Computer Science and Engineering, University of Washington, Seattle, WA 98105, USA
  1. ↵*To whom correspondence should be addressed. Tel: +1 508-856-8866; Fax: +1 508-856-2392; email: zhiping.weng{at}umassmed.edu. Correspondence may also be addressed to arjan.vandervelde{at}umassmed.edu.
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Posted October 24, 2016.
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LR-DNase: Predicting TF binding from DNase-seq data
Arjan van der Velde, Michael Purcaro, William Stafford Noble, Zhiping Weng
bioRxiv 082594; doi: https://doi.org/10.1101/082594
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LR-DNase: Predicting TF binding from DNase-seq data
Arjan van der Velde, Michael Purcaro, William Stafford Noble, Zhiping Weng
bioRxiv 082594; doi: https://doi.org/10.1101/082594

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