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Popera

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A tool developed for DNase I hypersensitive sites (DHSs) identification. Popera identifies DHSs by applying the kernel density estimation algorithm. All the DHSs identified from various tissues and developmental stages were merged to create a unified DHS file; DHSs were then assigned unique ID tags. Normalized scores of unified DHSs were calculated for each unique tissue and developmental stage.

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1 user review

1 user review

Liu Guanqing's avatar image

Liu Guanqing

better than F-seq

Popera forum

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Popera versioning

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Popera classification

Popera specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python
Stability:
Stable
Source code URL:
https://github.com/forrestzhang/Popera/archive/master.zip
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS
Computer skills:
Advanced
Requirements:
SAMtools, PySam, Scipy, Numpy
Maintained:
Yes

Popera support

Documentation

Maintainer

  • Jiming Jiang <>

Credits

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Publications

Institution(s)

Department of Horticulture, University of Wisconsin-Madison, Madison, WI, USA

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