MAGIC: A tool for predicting transcription factors and cofactors driving gene sets using ENCODE data

Avtar Roopra

doi:10.1371/journal.pcbi.1007800

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Open Access

Peer-reviewed

Research Article

MAGIC: A tool for predicting transcription factors and cofactors driving gene sets using ENCODE data

Avtar Roopra

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

* E-mail: asroopra@wisc.edu

Affiliation Dept. of Neuroscience, 5507 WIMR, University of Wisconsin-Madison, Madison, United States of America

http://orcid.org/0000-0001-8502-1406

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MAGIC: A tool for predicting transcription factors and cofactors driving gene sets using ENCODE data

Avtar Roopra

Published: April 6, 2020
https://doi.org/10.1371/journal.pcbi.1007800

About the Authors

Avtar Roopra

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

* E-mail: asroopra@wisc.edu

Affiliation Dept. of Neuroscience, 5507 WIMR, University of Wisconsin-Madison, Madison, United States of America

http://orcid.org/0000-0001-8502-1406

Competing Interests

The author has declared that no competing interests exist.

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Breast cancer
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Gene expression
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Transcription factors
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Transcriptome analysis
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Algorithms
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DNA transcription
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Biochemical cofactors
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Memory recall
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