GINOM: A statistical framework for assessing interval overlap of multiple genomic features

Darshan Bryner, Stephen Criscione, Andrew Leith, Quyen Huynh, Fred Huffer, Nicola Neretti

Open source

DOI: 10.1371/journal.pcbi.1005586
Published: 2017-06-15
Container: PLOS Computational Biology
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1005586,
  title = {GINOM: A statistical framework for assessing interval overlap of multiple genomic features},
  author = {Darshan Bryner and Stephen Criscione and Andrew Leith and Quyen Huynh and Fred Huffer and Nicola Neretti},
  year = {2017},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1005586},
  url = {https://doi.org/10.1371/journal.pcbi.1005586}
}

RIS

TY  - JOUR
TI  - GINOM: A statistical framework for assessing interval overlap of multiple genomic features
AU  - Darshan Bryner
AU  - Stephen Criscione
AU  - Andrew Leith
AU  - Quyen Huynh
AU  - Fred Huffer
AU  - Nicola Neretti
PY  - 2017
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1005586
UR  - https://doi.org/10.1371/journal.pcbi.1005586
ER  -

APA

Bryner, D., Criscione, S., Leith, A., Huynh, Q., Huffer, F., & Neretti, N. (2017). GINOM: A statistical framework for assessing interval overlap of multiple genomic features. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1005586

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crossref · retrieved 2026-09-26T17:49:16.194Z