Rshiny 2022-05-05

MS-PEP data analyzer

MS-PEP data analyzer is an R-Shiny app developed in collaboration with the laboratory of medical biochemistry at University of Antwerp (UAntwerpen).

In this tool, the raw data is uploaded (a text file with two columns: M/Z and intensity, separated by a tab). In addition, a known peptide sequence is also specified. Next, the tool will compare all possible theoretical fragments of the peptide with the obtained peaks from the spectrogram and filter and rank the fragments based on probability.
This is used, among other things, for determining the cut sites of proteases.

The article where this tool is used can be found at https://pubmed.ncbi.nlm.nih.gov/34639054/. Proteolytic cleavage of bioactive peptides and protease-activated receptors in acute and post-colitis International journal of molecular sciences - ISSN 1422-0067-22:19 (2021) p.
The link to the tool: https://bioit.shinyapps.io/PARs/
The link to the source code: https://github.com/BiKC/MS-PEP


About AuthorSenior Author

Hi, my name is Cedric Hermans. I'm a lecturer at the bioinformatics department of Howest. I am also a researcher at the BiKC knowledge centre. I am mainly involved in databases and data management, AI/Machine learning, Rshiny applications and python scripts.