Comb-p
Computational Tool
FAIR Metrics
0 evaluations
General Information
DescriptionSoftware for combining, analyzing, grouping and correcting spatially correlated P-values
Homepagehttps://github.com/brentp/combined-pvalues
Publications
Comb-p: software for combining, analyzing, grouping and correcting spatially correlated P-values
Brent S. Pedersen; David A. Schwartz; Ivana V. Yang; Katerina J. Kechris
Summary: 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.
Availability: comb-p is maintained under the BSD license. The documentation and implementation are available at https://github.com/brentp/combined-pvalues.
Contact: bpederse@gmail.com
Metrics:
40
Canned Analyses generated by the tool
There are no indexed analyses by this tool at the moment.
Datasets analyzed by the tool
There are no indexed analyses by this tool at the moment.
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.