Genomic Sequence Is Highly Predictive of Local Nucleosome Depletion

Guo-Cheng Yuan; Jun S Liu

doi:10.1371/journal.pcbi.0040013

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Open Access

Peer-reviewed

Research Article

Genomic Sequence Is Highly Predictive of Local Nucleosome Depletion

Guo-Cheng Yuan ,

*To whom correspondence should be addressed. E-mail: gcyuan@jimmy.harvard.edu (GY); jliu@stat.harvard.edu (JSL)

Affiliations Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America , Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America
⨯
Jun S Liu

*To whom correspondence should be addressed. E-mail: gcyuan@jimmy.harvard.edu (GY); jliu@stat.harvard.edu (JSL)

Affiliations Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America , Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America
⨯

Genomic Sequence Is Highly Predictive of Local Nucleosome Depletion

Guo-Cheng Yuan,
Jun S Liu

Published: January 25, 2008
https://doi.org/10.1371/journal.pcbi.0040013

About the Authors

Guo-Cheng Yuan

*To whom correspondence should be addressed. E-mail: gcyuan@jimmy.harvard.edu (GY); jliu@stat.harvard.edu (JSL)

Affiliations Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America , Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America

Jun S Liu

*To whom correspondence should be addressed. E-mail: gcyuan@jimmy.harvard.edu (GY); jliu@stat.harvard.edu (JSL)

Affiliations Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America , Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

GY conceived and designed the experiments and performed the experiments. GY and JSL analyzed the data, contributed reagents/materials/analysis tools, and wrote the paper.

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Nucleosomes
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Genomics
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Hidden Markov models
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Sequence alignment
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Sequence motif analysis
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Signal processing
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Yeast
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Transcription factors
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