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BayesPeak

Provides a flexible implementation of the BayesPeak algorithm and is compatible with downstream BioConductor packages. The BayesPeak package introduces a new method for summarizing posterior probability output, along with methods for handling overfitting and support for parallel processing. It provides a Bayesian analysis, with advantages including allowance for overdispersion in read counts and a competitive genome-wide specificity and sensitivity. By anticipating peak structure, BayesPeak does not call peaks based on sheer numbers of reads without appropriate read formation.

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BayesPeak forum

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BayesPeak classification

BayesPeak specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Stability:
Stable

BayesPeak distribution

versioning

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No versioning.

BayesPeak support

Documentation

Credits

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Publications

Institution(s)

Department of Oncology, University of Cambridge, Li Ka Shing Centre, Cambridge, UK

Link to literature

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