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gnu: Add python-coolbox.

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* gnu/packages/bioinformatics.scm (python-coolbox): New variable.
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Ricardo Wurmus 2021-08-30 18:29:25 +02:00
parent 0d2371d215
commit 7712154ccb
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1 changed files with 49 additions and 0 deletions
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gnu/packages/bioinformatics.scm
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@ -103,6 +103,7 @@ (define-module (gnu packages bioinformatics)
#:use-module (gnu packages java)
#:use-module (gnu packages java-compression)
#:use-module (gnu packages jemalloc)
#:use-module (gnu packages jupyter)
#:use-module (gnu packages linux)
#:use-module (gnu packages lisp-xyz)
#:use-module (gnu packages logging)
@ -14899,6 +14900,54 @@ (define-public python-dna-features-viewer
e.g. from GenBank or Gff files, or Biopython SeqRecords.")
(license license:expat)))
(define-public python-coolbox
(package
(name "python-coolbox")
(version "0.3.8")
(source
(origin
(method url-fetch)
(uri (pypi-uri "coolbox" version))
(sha256
(base32
"0gqp76285w9klswr47y6kxbzwhv033b26jfa179kccfhiaq5p2xa"))))
(build-system python-build-system)
(arguments '(#:tests? #false)) ; there are none
(inputs
`(("pybind11" ,pybind11)))
(propagated-inputs
`(("python-cooler" ,python-cooler)
("python-dna-features-viewer" ,python-dna-features-viewer)
("python-fire" ,python-fire)
("python-h5py" ,python-h5py)
("python-intervaltree" ,python-intervaltree)
("python-ipywidgets" ,python-ipywidgets)
("jupyter" ,jupyter)
("python-matplotlib" ,python-matplotlib)
("python-nbformat" ,python-nbformat)
("python-numpy" ,python-numpy)
("python-numpydoc" ,python-numpydoc)
("python-pandas" ,python-pandas)
("python-pybbi" ,python-pybbi)
("python-pytest" ,python-pytest)
("python-scipy" ,python-scipy)
("python-statsmodels" ,python-statsmodels)
("python-strawc" ,python-strawc)
("python-svgutils" ,python-svgutils)
("python-termcolor" ,python-termcolor)
("python-voila" ,python-voila)))
(home-page "https://github.com/GangCaoLab/CoolBox")
(synopsis "Genomic data visualization toolkit")
(description
"CoolBox is a toolkit for visual analysis of genomics data. It aims to
be highly compatible with the Python ecosystem, easy to use and highly
customizable with a well-designed user interface. It can be used in various
visualization situations, for example, to produce high-quality genome track
plots or fetch common used genomic data files with a Python script or command
line, interactively explore genomic data within Jupyter environment or web
browser.")
(license license:gpl3+)))
(define-public r-ascat
(package
(name "r-ascat")