gnu: Add tbsp.
* gnu/packages/bioinformatics.scm (tbsp): New variable.
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@ -14756,3 +14756,40 @@ spliced-in} (PSI) values of alternatively-spliced exons that were computed by
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vast-tools, an RNA-Seq pipeline for alternative splicing analysis. The plots
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are generated using @code{ggplot2}.")
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(license license:expat)))
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(define-public tbsp
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(let ((commit "ec8fff4410cfb13a677dbbb95cbbc60217e64907")
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(revision "1"))
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(package
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(name "tbsp")
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(version (git-version "1.0.0" revision commit))
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/phoenixding/tbsp.git")
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(commit commit)))
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(sha256
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(base32
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"025ym14x8gbd6hb55lsinqj6f5qzw36i10klgs7ldzxxd7s39ki1"))))
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(build-system python-build-system)
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(arguments '(#:tests? #f)) ; no tests included
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(inputs
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`(("python-matplotlib" ,python-matplotlib)
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("python-networkx" ,python-networkx)
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("python-numpy" ,python-numpy)
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("python-pybigwig" ,python-pybigwig)
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("python-biopython" ,python-biopython)
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("python-scikit-learn" ,python-scikit-learn)
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("python-scipy" ,python-scipy)))
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(home-page "https://github.com/phoenixding/tbsp/")
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(synopsis "SNP-based trajectory inference")
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(description
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"Several studies focus on the inference of developmental and response
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trajectories from single cell RNA-Seq (scRNA-Seq) data. A number of
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computational methods, often referred to as pseudo-time ordering, have been
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developed for this task. CRISPR has also been used to reconstruct lineage
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trees by inserting random mutations. The tbsp package implements an
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alternative method to detect significant, cell type specific sequence
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mutations from scRNA-Seq data.")
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(license license:expat))))
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