DNase-capture reveals differential transcription factor binding modalities

Daniel Kang; Richard Sherwood; Amira Barkal; Tatsunori Hashimoto; Logan Engstrom; David Gifford

doi:10.1371/journal.pone.0187046

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Open Access

Peer-reviewed

Research Article

DNase-capture reveals differential transcription factor binding modalities

Daniel Kang ,

Contributed equally to this work with: Daniel Kang, Richard Sherwood

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Validation, Visualization, Writing – original draft

Affiliation Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
⨯
Richard Sherwood ,

Contributed equally to this work with: Daniel Kang, Richard Sherwood

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing – original draft

Affiliation Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
⨯
Amira Barkal,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology

Affiliation Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
⨯
Tatsunori Hashimoto,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology

Affiliation Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
⨯
Logan Engstrom,

Roles Formal analysis, Investigation, Software, Validation, Visualization, Writing – review & editing

Affiliation Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
⨯
David Gifford

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: gifford@mit.edu

Affiliation Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
⨯

DNase-capture reveals differential transcription factor binding modalities

Daniel Kang,
Richard Sherwood,
Amira Barkal,
Tatsunori Hashimoto,
Logan Engstrom,
David Gifford

Published: December 28, 2017
https://doi.org/10.1371/journal.pone.0187046

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DNase Seq
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Genomics
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Deoxyribonucleases
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Transcription factors
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Mammalian genomics
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DNA hybridization
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DNA libraries
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Genome analysis
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