-
Notifications
You must be signed in to change notification settings - Fork 2
Expand file tree
/
Copy pathCITATION.cff
More file actions
78 lines (77 loc) · 2.66 KB
/
CITATION.cff
File metadata and controls
78 lines (77 loc) · 2.66 KB
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
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: PyFastANI
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Martin
family-names: Larralde
email: martin.larralde@embl.de
affiliation: Leiden University Medical Center
orcid: 'https://orcid.org/0000-0002-3947-4444'
- given-names: Georg
family-names: Zeller
affiliation: Leiden University Medical Center
orcid: 'https://orcid.org/0000-0003-1429-7485'
- given-names: Laura
name-particle: M.
family-names: Carroll
affiliation: Umeå University
orcid: 'https://orcid.org/0000-0002-3677-0192'
identifiers:
- type: doi
value: 10.1101/2025.02.13.638148
description: bioRxiv preprint
- type: doi
value: 10.1093/nargab/lqaf095
description: NAR Genomics & Bioinformatics paper
repository-code: 'https://github.com/althonos/pyfastani'
abstract: >-
The average nucleotide identity (ANI) metric has become
the gold standard for prokaryotic species delineation in
the genomics era. The most popular ANI algorithms are
available as command-line tools and/or web applications,
making it inconvenient or impossible to incorporate them
into bioinformatic workflows, which utilize the popular
Python programming language. Here, we present PyOrthoANI,
PyFastANI, and Pyskani, Python libraries for three popular
ANI computation methods. ANI values produced by
PyOrthoANI, PyFastANI, and Pyskani are virtually identical
to those produced by OrthoANI, FastANI, and skani,
respectively. All three libraries integrate seamlessly
with BioPython, making it easy and convenient to use,
compare, and benchmark popular ANI algorithms within
Python-based workflows.
keywords:
- python
- library
- average nucleotide identity
- ANI
license: MIT
preferred-citation:
type: article
authors:
- given-names: Martin
family-names: Larralde
email: martin.larralde@embl.de
affiliation: Leiden University Medical Center
orcid: 'https://orcid.org/0000-0002-3947-4444'
- given-names: Georg
family-names: Zeller
affiliation: Leiden University Medical Center
orcid: 'https://orcid.org/0000-0003-1429-7485'
- given-names: Laura
name-particle: M.
family-names: Carroll
affiliation: Umeå University
orcid: 'https://orcid.org/0000-0002-3677-0192'
doi: "10.1093/nargab/lqaf095"
journal: "NAR Genomics and Bioinformatics"
volume: 7
issue: 3
title: "PyOrthoANI, PyFastANI, and Pyskani: a suite of Python libraries for computation of average nucleotide identity"
year: 2025
month: 9