File: control

package info (click to toggle)
python-pyvcf 0.6.8%2Bgit20170215.476169c-9
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 1,816 kB
  • sloc: python: 2,924; makefile: 124; sh: 19
file content (88 lines) | stat: -rw-r--r-- 3,721 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
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
Source: python-pyvcf
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends: debhelper-compat (= 13),
               dh-python,
               cython3,
               python3-all-dev,
               python3-setuptools,
               python3-pytest <!nocheck>,
               python3-pysam <!nocheck>,
Standards-Version: 4.6.1
Vcs-Browser: https://salsa.debian.org/med-team/python-pyvcf
Vcs-Git: https://salsa.debian.org/med-team/python-pyvcf.git
Homepage: https://github.com/jamescasbon/PyVCF
Rules-Requires-Root: no

Package: python3-vcf
Architecture: any
Depends: ${shlibs:Depends},
         ${misc:Depends},
         ${python3:Depends},
         python3-pysam
Breaks: python3-pyvcf
Provides: python3-pyvcf
Replaces: python3-pyvcf
Description: Variant Call Format (VCF) parser for Python 3
 The Variant Call Format (VCF) specifies the format of a text file used
 in bioinformatics for storing gene sequence variations. The format has
 been developed with the advent of large-scale genotyping and DNA
 sequencing projects, such as the 1000 Genomes Project.
 .
 The intent of this module is to mimic the ``csv`` module in the Python
 stdlib, as opposed to more flexible serialization formats like JSON or
 YAML. ``vcf`` will attempt to parse the content of each record based on
 the data types specified in the meta-information lines -- specifically
 the ##INFO and
 ##FORMAT lines. If these lines are missing or incomplete, it will check
 against the reserved types mentioned in the spec. Failing that, it will
 just return strings.
 .
 This package provides the Python 3 modules.

Package: pyvcf
Architecture: all
Depends: ${misc:Depends},
         ${python3:Depends},
         python3-vcf
Description: helper scripts for Variant Call Format (VCF) parser
 The Variant Call Format (VCF) specifies the format of a text file used
 in bioinformatics for storing gene sequence variations. The format has
 been developed with the advent of large-scale genotyping and DNA
 sequencing projects, such as the 1000 Genomes Project.
 .
 The intent of this module is to mimic the ``csv`` module in the Python
 stdlib, as opposed to more flexible serialization formats like JSON or
 YAML. ``vcf`` will attempt to parse the content of each record based on
 the data types specified in the meta-information lines -- specifically
 the ##INFO and
 ##FORMAT lines. If these lines are missing or incomplete, it will check
 against the reserved types mentioned in the spec. Failing that, it will
 just return strings.
 .
 This package provides helper scripts using python3-pyvcf.

Package: python-pyvcf-examples
Architecture: all
Depends: ${misc:Depends}
Suggests: python3-pyvcf
Multi-Arch: foreign
Description: Example data for Variant Call Format (VCF) parser for Python
 The Variant Call Format (VCF) specifies the format of a text file used
 in bioinformatics for storing gene sequence variations. The format has
 been developed with the advent of large-scale genotyping and DNA
 sequencing projects, such as the 1000 Genomes Project.
 .
 The intent of this module is to mimic the ``csv`` module in the Python
 stdlib, as opposed to more flexible serialization formats like JSON or
 YAML. ``vcf`` will attempt to parse the content of each record based on
 the data types specified in the meta-information lines -- specifically
 the ##INFO and
 ##FORMAT lines. If these lines are missing or incomplete, it will check
 against the reserved types mentioned in the spec. Failing that, it will
 just return strings.
 .
 This package provides example data to test the Python modules.