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Discussion of AlphaPept preprint #48

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dschust-r opened this issue Aug 11, 2022 · 1 comment
Open
1 of 12 tasks

Discussion of AlphaPept preprint #48

dschust-r opened this issue Aug 11, 2022 · 1 comment

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@dschust-r
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dschust-r commented Aug 11, 2022

AlphaPept, a modern and open framework for MS-based proteomics

Link to the paper: https://www.biorxiv.org/content/10.1101/2021.07.23.453379v1.full

Citation in manubot format: [@doi:10.1101/2021.07.23.453379]

  1. What section does this paper fit into? (select at least one or add your own)
  • Introduction
  • protein extraction
  • proteolysis
  • Peptide and protein labeling
  • enrichment of proteins or modifications
  • peptide purification
  • types of mass spectrometers used for proteomics
  • Peptide ionization
  • Data Acquisition (targeted and untargeted DDA and DIA)
  • Basics of data analysis
  • Biological Interpretation
  • Experiment design and considerations not discussed elsewhere
  1. Please provide a short summary of the work (1-2 sentences):

Preprint from the lab of Matthias Mann. They developed a python-based software with GUI for fast analysis of large data sets, easily implementable for workflow management and quality control.

  1. Any additional details

I installed the software (GUI version) and tested it on a few QC runs. It is fast in analyzing the data, only needs a path to a folder with raw files and the FASTA file to use for the search. It can also be used with a FileWatcher option, that continuously checks for new files and analyzes them automatically the same way as the other files in the folder. The graphs are easy to compare. All around a good software for quality control, in my opinion.

Has anyone else tried AlphaPept so far? Any opinions?

@jessegmeyerlab
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Wow this software looks awesome. I haven't used it but we have some projects where this might help and I will definitely check it out. Also awesome that it can work for automated QC. Thanks for starting a discussion on this!

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