File: control

package info (click to toggle)
cnvkit 0.9.12-1
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 96,464 kB
  • sloc: python: 12,407; makefile: 263; sh: 84; xml: 38
file content (42 lines) | stat: -rw-r--r-- 1,733 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
Source: cnvkit
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Michael R. Crusoe <crusoe@debian.org>,
           Steffen Moeller <moeller@debian.org>,
           Olivier Sallou <osallou@debian.org>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
               dh-sequence-python3,
               python3-all,
               python3-setuptools,
               pybuild-plugin-pyproject,
               python3-pytest <!nocheck>,
               python3-pyfaidx <!nocheck>,
               python3-biopython <!nocheck>,
               python3-pandas <!nocheck>,
               python3-numpy <!nocheck>,
               python3-pysam <!nocheck>,
               python3-scipy <!nocheck>,
               python3-matplotlib <!nocheck>,
               python3-pomegranate (>= 0.15) <!nocheck>,
               r-bioc-dnacopy <!nocheck>,
# testing
# poppler-utils provides pdfunite, needed for the tests
               poppler-utils <!nocheck>
Standards-Version: 4.7.0
Vcs-Browser: https://salsa.debian.org/med-team/cnvkit
Vcs-Git: https://salsa.debian.org/med-team/cnvkit.git
Homepage: https://cnvkit.readthedocs.org
Rules-Requires-Root: no
Testsuite: autopkgtest-pkg-pybuild

Package: cnvkit
Architecture: all
Depends: ${python3:Depends},
         ${misc:Depends},
         r-bioc-dnacopy
Description: Copy number variant detection from targeted DNA sequencing
 A command-line toolkit and Python library for detecting copy number variants
 and alterations genome-wide from targeted DNA sequencing. It is designed for
 use with hybrid capture, including both whole-exome and custom target panels,
 and short-read sequencing platforms such as Illumina and Ion Torrent.