gnu: Add python-hicexplorer.

* gnu/packages/bioinformatics.scm (python-hicexplorer): New variable.
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Ricardo Wurmus 2018-09-05 16:07:27 +02:00 committed by Ricardo Wurmus
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@ -13615,3 +13615,56 @@ fasta subsequences.")
storage format, called @code{cool}, used to store genomic interaction data, storage format, called @code{cool}, used to store genomic interaction data,
such as Hi-C contact matrices.") such as Hi-C contact matrices.")
(license license:bsd-3))) (license license:bsd-3)))
(define-public python-hicexplorer
(package
(name "python-hicexplorer")
(version "2.1.4")
(source
(origin
;; The latest version is not available on Pypi.
(method git-fetch)
(uri (git-reference
(url "https://github.com/deeptools/HiCExplorer.git")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"0q5gpbzmrkvygqgw524q36b4nrivcmyi5v194vsx0qw7b3gcmq08"))))
(build-system python-build-system)
(arguments
`(#:phases
(modify-phases %standard-phases
(add-after 'unpack 'loosen-up-requirements
(lambda _
(substitute* "setup.py"
(("==") ">="))
#t)))))
(propagated-inputs
`(("python-biopython" ,python-biopython)
("python-configparser" ,python-configparser)
("python-cooler" ,python-cooler)
("python-future" ,python-future)
("python-intervaltree" ,python-intervaltree)
("python-jinja2" ,python-jinja2)
("python-matplotlib" ,python-matplotlib)
("python-numpy" ,python-numpy)
("python-pandas" ,python-pandas)
("python-pybigwig" ,python-pybigwig)
("python-pysam" ,python-pysam)
("python-scipy" ,python-scipy)
("python-six" ,python-six)
("python-tables" ,python-tables)
("python-unidecode" ,python-unidecode)))
(home-page "http://hicexplorer.readthedocs.io")
(synopsis "Process, analyze and visualize Hi-C data")
(description
"HiCExplorer is a powerful and easy to use set of tools to process,
normalize and visualize Hi-C data. HiCExplorer facilitates the creation of
contact matrices, correction of contacts, TAD detection, A/B compartments,
merging, reordering or chromosomes, conversion from different formats
including cooler and detection of long-range contacts. Moreover, it allows
the visualization of multiple contact matrices along with other types of data
like genes, compartments, ChIP-seq coverage tracks (and in general any type of
genomic scores), long range contacts and the visualization of viewpoints.")
(license license:gpl3)))