Source: python-pepsickle
Section: science
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders:
 Steffen Moeller <moeller@debian.org>
Build-Depends:
 debhelper-compat (= 13),
 dh-sequence-python3,
 python3-all,
 python3-biopython <!nocheck>,
 python3-joblib (>= 1.5),
 python3-numpy,
 python3-setuptools,
 python3-sklearn <!nocheck>,
 python3-torch <!nocheck>,
Standards-Version: 4.7.4
Rules-Requires-Root: no
Homepage: https://github.com/pdxgx/pepsickle
Vcs-Browser: https://salsa.debian.org/med-team/python-pepsickle
Vcs-Git: https://salsa.debian.org/med-team/python-pepsickle.git

Package: python3-pepsickle
Architecture: all
Depends:
 ${python3:Depends},
 ${misc:Depends},
 python3-biopython,
 python3-numpy,
 python3-torch,
Description: context-aware proteasomal cleavage prediction
 Pepsickle predicts proteasomal cleavage sites in amino acid sequences
 supplied directly or in FASTA files. It provides models trained on in-vivo
 epitope data and in-vitro constitutive proteasome or immunoproteasome data,
 with optional models restricted to human training data.
 .
 Predictions include a cleavage probability for each residue and are
 written in tab-separated format. This package provides the Python module,
 command-line program and trained prediction models.