Cargando…

Appia: Simpler chromatography analysis and visualization

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 d...

Descripción completa

Detalles Bibliográficos
Autores principales: Posert, Richard, Baconguis, Isabelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844859/
https://www.ncbi.nlm.nih.gov/pubmed/36649224
http://dx.doi.org/10.1371/journal.pone.0280255
_version_ 1784870750405001216
author Posert, Richard
Baconguis, Isabelle
author_facet Posert, Richard
Baconguis, Isabelle
author_sort Posert, Richard
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9844859
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-98448592023-01-18 Appia: Simpler chromatography analysis and visualization Posert, Richard Baconguis, Isabelle PLoS One Research Article 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. Public Library of Science 2023-01-17 /pmc/articles/PMC9844859/ /pubmed/36649224 http://dx.doi.org/10.1371/journal.pone.0280255 Text en © 2023 Posert, Baconguis https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Posert, Richard
Baconguis, Isabelle
Appia: Simpler chromatography analysis and visualization
title Appia: Simpler chromatography analysis and visualization
title_full Appia: Simpler chromatography analysis and visualization
title_fullStr Appia: Simpler chromatography analysis and visualization
title_full_unstemmed Appia: Simpler chromatography analysis and visualization
title_short Appia: Simpler chromatography analysis and visualization
title_sort appia: simpler chromatography analysis and visualization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844859/
https://www.ncbi.nlm.nih.gov/pubmed/36649224
http://dx.doi.org/10.1371/journal.pone.0280255
work_keys_str_mv AT posertrichard appiasimplerchromatographyanalysisandvisualization
AT baconguisisabelle appiasimplerchromatographyanalysisandvisualization