TY - JOUR
T1 - Appia
T2 - Simpler chromatography analysis and visualization
AU - Posert, Richard
AU - Baconguis, Isabelle
N1 - Funding Information:
This work was supported by the National Institute of General Medical Sciences (T32GM071338, initially to support RP, and R01GM138862 to IB). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher 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.
PY - 2023/1
Y1 - 2023/1
N2 - 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.
AB - 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.
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U2 - 10.1371/journal.pone.0280255
DO - 10.1371/journal.pone.0280255
M3 - Article
C2 - 36649224
AN - SCOPUS:85146484842
SN - 1932-6203
VL - 18
JO - PLoS One
JF - PLoS One
IS - 1 January
M1 - e0280255
ER -