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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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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 |
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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 |