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authorRicardo Wurmus <rekado@elephly.net>2024-01-02 22:46:00 +0100
committerRicardo Wurmus <rekado@elephly.net>2024-01-02 22:47:07 +0100
commitf4628000024219bf373922ff4a6fa752eb821797 (patch)
tree76b30b514934ea9bd53da4ac83e5a9a98a54b573 /gnu
parent8ed9ffedd4b7a01fe1ecb73e75931d2ccfcd4923 (diff)
downloadguix-f4628000024219bf373922ff4a6fa752eb821797.tar
guix-f4628000024219bf373922ff4a6fa752eb821797.tar.gz
gnu: Add cpat.
* gnu/packages/bioinformatics.scm (cpat): New variable. Change-Id: I7b3acca1bdec2610d7cdaaf6f96440fe000421dd
Diffstat (limited to 'gnu')
-rw-r--r--gnu/packages/bioinformatics.scm44
1 files changed, 44 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm
index bdad03b000..41cac296fe 100644
--- a/gnu/packages/bioinformatics.scm
+++ b/gnu/packages/bioinformatics.scm
@@ -617,6 +617,50 @@ Compared to cellSNP, this package is more efficient with higher speed and less
memory usage.")
(license license:asl2.0))))
+(define-public cpat
+ (package
+ (name "cpat")
+ (version "3.0.4")
+ (source (origin
+ (method url-fetch)
+ (uri (pypi-uri "CPAT" version))
+ (sha256
+ (base32
+ "0dfrwwbhv1n4nh2a903d1qfb30fgxgya89sa70aci3wzf8h2z0vd"))
+ (modules '((guix build utils)))
+ (snippet
+ '(for-each delete-file-recursively
+ (list ".eggs"
+ "lib/__pycache__/"
+ "lib/cpmodule/__pycache__/")))))
+ (build-system pyproject-build-system)
+ (arguments
+ (list
+ #:phases
+ '(modify-phases %standard-phases
+ (replace 'check
+ (lambda* (#:key tests? #:allow-other-keys)
+ (when tests?
+ (with-directory-excursion "test"
+ ;; There is no test4.fa
+ (substitute* "test.sh"
+ ((".*-g test4.fa.*") ""))
+ (invoke "bash" "test.sh"))))))))
+ (propagated-inputs
+ (list python-numpy python-pysam))
+ (inputs
+ (list r-minimal))
+ (home-page "https://wlcb.oit.uci.edu/cpat/")
+ (synopsis "Alignment-free distinction between coding and noncoding RNA")
+ (description
+ "CPAT is a method to distinguish coding and noncoding RNA by using a
+logistic regression model based on four pure sequence-based, linguistic
+features: ORF size, ORF coverage, Ficket TESTCODE, and Hexamer usage bias.
+Linguistic features based method does not require other genomes or protein
+databases to perform alignment and is more robust. Because it is
+alignment-free, it runs much faster and also easier to use.")
+ (license license:gpl2+)))
+
(define-public pbcopper
(package
(name "pbcopper")