-
Notifications
You must be signed in to change notification settings - Fork 15
/
CITATION.cff
88 lines (88 loc) · 3.45 KB
/
CITATION.cff
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
cff-version: 1.2.0
message: >-
If you use this software, please cite both the software itself, as well as the
article Lancaster AK et al. (2024) <a
href=\"https://doi.org/10.3389/fimmu.2024.1378512\">PyPop: A mature
open-source software pipeline for population genomics</a>. <i>Front.
Immunol.</i> <b>15</b>:1378512. doi: 10.3389/fimmu.2024.1378512
abstract: >-
PyPop for Population Genomics (PyPop) is a Python program for processing
genotype and allele data and running population genetic analyses, including
conformity to Hardy-Weinberg expectations; tests for balancing or directional
selection; estimates of haplotype frequencies and measures and tests of
significance for linkage disequilibrium (LD). Output of analyses are
stored in XML format for maximum downstream flexibility. PyPop also has an
internal facility for additionally aggregating the output XML and generating
output tab-separated (TSV) files, as well as default plain text files for each
population. Although it can be run on any kind of genotype data, it has
additional support for analyzing population genotype with allelic nomenclature
from the human leukocyte antigen (HLA) region.
authors:
- family-names: Lancaster
given-names: Alexander K.
orcid: https://orcid.org/0000-0002-0002-9263
affiliation: Amber Biology LLC and Ronin Institute
- family-names: Nelson
given-names: Mark P.
affiliation: University of California, Berkeley
- family-names: Single
given-names: Richard
orcid: https://orcid.org/0000-0001-6054-6505
affiliation: University of Vermont
- family-names: Solberg
given-names: Owen
orcid: https://orcid.org/0000-0003-3060-9709
- family-names: Tsai
given-names: Yingsu
affiliation: University of California, Berkeley
orcid: https://orcid.org/0009-0006-0162-6066
- family-names: Meyer
given-names: Diogo
orcid: https://orcid.org/0000-0002-7155-5674
affiliation: University of São Paulo
- family-names: Webster
given-names: Gordon
affiliation: Amber Biology LLC
orcid: https://orcid.org/0009-0009-2862-0467
- family-names: Mariani
given-names: Michael P.
orcid: https://orcid.org/0000-0001-5852-0517
affiliation: Mariani Systems LLC and University of Vermont
- family-names: Sochat
given-names: Vanessa
orcid: https://orcid.org/0000-0002-4387-3819
affiliation: Lawrence Livermore National Laboratory
- family-names: Kornel
given-names: Karl
orcid: https://orcid.org/0000-0001-5847-5330
affiliation: Stanford Research Computing Center
- family-names: Spaaks
given-names: Jurriaan H.
orcid: https://orcid.org/0000-0002-7064-4069
affiliation: Netherlands eScience Center
- family-names: Mack
given-names: Steven J.
orcid: https://orcid.org/0000-0001-9820-9547
affiliation: University of California, San Francisco
- family-names: Thomson
given-names: Glenys
orcid: https://orcid.org/0000-0001-5235-4159
affiliation: University of California, Berkeley
title: 'PyPop: Python for Population Genomics'
url: http://pypop.org/
repository-artifact: https://pypi.org/project/pypop-genomics/
repository-code: https://github.com/alexlancaster/pypop
type: software
keywords:
- population genetics
- population genomics
- bioinformatics
- computational biology
- evolutionary biology
- Human leukocyte antigen
- Major histocompatibility complex
- HLA
- MHC
license: GPL-2.0-or-later
version: v1.1.1
doi: 10.5281/zenodo.13742984