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gnu: Add Couger.
* gnu/packages/bioinformatics.scm (couger): New variable.
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@ -34,6 +34,7 @@ (define-module (gnu packages bioinformatics)
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#:use-module (gnu packages file)
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#:use-module (gnu packages java)
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#:use-module (gnu packages linux)
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#:use-module (gnu packages machine-learning)
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#:use-module (gnu packages maths)
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#:use-module (gnu packages ncurses)
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#:use-module (gnu packages perl)
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@ -438,6 +439,76 @@ (define-public clipper
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"CLIPper is a tool to define peaks in CLIP-seq datasets.")
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(license license:gpl2)))
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(define-public couger
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(package
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(name "couger")
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(version "1.8.2")
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(source (origin
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(method url-fetch)
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(uri (string-append
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"http://couger.oit.duke.edu/static/assets/COUGER"
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version ".zip"))
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(sha256
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(base32
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"04p2b14nmhzxw5h72mpzdhalv21bx4w9b87z0wpw0xzxpysyncmq"))))
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(build-system gnu-build-system)
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(arguments
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`(#:tests? #f
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#:phases
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(modify-phases %standard-phases
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(delete 'configure)
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(delete 'build)
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(replace
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'install
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(lambda* (#:key outputs #:allow-other-keys)
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(let ((out (assoc-ref outputs "out")))
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(copy-recursively "src" (string-append out "/src"))
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(mkdir (string-append out "/bin"))
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;; Add "src" directory to module lookup path.
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(substitute* "couger"
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(("from argparse")
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(string-append "import sys\nsys.path.append(\""
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out "\")\nfrom argparse")))
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(copy-file "couger" (string-append out "/bin/couger")))
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#t))
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(add-after
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'install 'wrap-program
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(lambda* (#:key inputs outputs #:allow-other-keys)
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;; Make sure 'couger' runs with the correct PYTHONPATH.
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(let* ((out (assoc-ref outputs "out"))
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(path (getenv "PYTHONPATH")))
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(wrap-program (string-append out "/bin/couger")
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`("PYTHONPATH" ":" prefix (,path))))
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#t)))))
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(inputs
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`(("python" ,python-2)
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("python2-pillow" ,python2-pillow)
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("python2-numpy" ,python2-numpy)
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("python2-scipy" ,python2-scipy)
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("python2-matplotlib" ,python2-matplotlib)))
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(propagated-inputs
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`(("r" ,r)
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("libsvm" ,libsvm)
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("randomjungle" ,randomjungle)))
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(native-inputs
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`(("unzip" ,unzip)))
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(home-page "http://couger.oit.duke.edu")
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(synopsis "Identify co-factors in sets of genomic regions")
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(description
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"COUGER can be applied to any two sets of genomic regions bound by
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paralogous TFs (e.g., regions derived from ChIP-seq experiments) to identify
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putative co-factors that provide specificity to each TF. The framework
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determines the genomic targets uniquely-bound by each TF, and identifies a
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small set of co-factors that best explain the in vivo binding differences
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between the two TFs.
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COUGER uses classification algorithms (support vector machines and random
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forests) with features that reflect the DNA binding specificities of putative
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co-factors. The features are generated either from high-throughput TF-DNA
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binding data (from protein binding microarray experiments), or from large
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collections of DNA motifs.")
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(license license:gpl3+)))
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(define-public clustal-omega
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(package
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(name "clustal-omega")
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