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