|Title||ProSave: an application for restoring quantitative data to manipulated subsets of protein lists.|
|Publication Type||Journal Article|
|Year of Publication||2018|
|Authors||Machlab, Daniel A., Velez Gabriel, Bassuk Alexander G., and Mahajan Vinit B.|
|Journal||Source Code Biol Med|
Background: In proteomics studies, liquid chromatography tandem mass spectrometry data (LC-MS/MS) is quantified by spectral counts or by some measure of ion abundance. Downstream comparative analysis of protein content (e.g. Venn diagrams and network analysis) typically does not include this quantitative data and critical information is often lost. To avoid loss of spectral count data in comparative proteomic analyses, it is critical to implement a tool that can rapidly retrieve this information.
Results: We developed ProSave, a free and user-friendly Java-based program that retrieves spectral count data from a curated list of proteins in a large proteomics dataset. ProSave allows for the management of LC-MS/MS datasets and rapidly retrieves spectral count information for a desired list of proteins.
Conclusions: ProSave is open source and freely available at https://github.com/MahajanLab/ProSave. The user manual, implementation notes, and description of methodology and examples are available on the site.
|Alternate Journal||Source Code Biol Med|
|PubMed Central ID||PMC6233572|
|Grant List||R21 AG050437 / AG / NIA NIH HHS / United States |
P30 EY026877 / EY / NEI NIH HHS / United States
R01 EY024665 / EY / NEI NIH HHS / United States
R01 EY026682 / EY / NEI NIH HHS / United States
R01 EY024698 / EY / NEI NIH HHS / United States
R01 EY025225 / EY / NEI NIH HHS / United States
T32 GM007337 / GM / NIGMS NIH HHS / United States