Appia: Simpler chromatography analysis and visualization.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2023
2023
Historique:
received:
26
08
2022
accepted:
22
12
2022
entrez:
17
1
2023
pubmed:
18
1
2023
medline:
20
1
2023
Statut:
epublish
Résumé
Chromatography is an essential family of assays for molecular biology and chemistry. Typically, only a qualitative assessment of peak height, position, and shape are sufficient to proceed. Additionally, chromatography instrument software is proprietary and often locked to a single computer, making data analysis and sharing difficult. Since each manufacturer reports the data in their own proprietary format, performing analysis of experiments which use multiple instruments or sharing data between labs is also challenging. Here we present Appia, a free, open-source chromatography processing and visualization package focused on making analysis, collaboration, and publication quick and easy.
Identifiants
pubmed: 36649224
doi: 10.1371/journal.pone.0280255
pii: PONE-D-22-23933
pmc: PMC9844859
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0280255Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM138862
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM071338
Pays : United States
Informations de copyright
Copyright: © 2023 Posert, Baconguis. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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