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Comb-p: software for combining, analyzing, grouping and correcting spatially correlatedP-values
Author(s) -
Brent S. Pedersen,
David A. Schwartz,
Ivana V. Yang,
Katerina Kechris
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts545
Subject(s) - python (programming language) , mit license , computer science , software , documentation , visualization , data mining , graphics , correlation , computer graphics (images) , algorithm , computational biology , programming language , biology , mathematics , geometry
comb-p is a command-line tool and a python library that manipulates BED files of possibly irregularly spaced P-values and (1) calculates auto-correlation, (2) combines adjacent P-values, (3) performs false discovery adjustment, (4) finds regions of enrichment (i.e. series of adjacent low P-values) and (5) assigns significance to those regions. In addition, tools are provided for visualization and assessment. We provide validation and example uses on bisulfite-seq with P-values from Fisher's exact test, tiled methylation probes using a linear model and Dam-ID for chromatin binding using moderated t-statistics. Because the library accepts input in a simple, standardized format and is unaffected by the origin of the P-values, it can be used for a wide variety of applications.

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