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  deTELpy: Python package for high-throughput detection of amino acid substitutions in mass spectrometry datasets.

Landerer, C., Scheremetjew, M., Moon, H., Hersemann, L., & Toth-Petroczy, A. (2024). deTELpy: Python package for high-throughput detection of amino acid substitutions in mass spectrometry datasets. Bioinformatics (Oxford, England), 40(7): btae424. doi:10.1093/bioinformatics/btae424.

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 Creators:
Landerer, Cedric1, Author           
Scheremetjew, Maxim, Author
Moon, HongKee1, Author           
Hersemann, Lena, Author
Toth-Petroczy, Agnes1, Author           
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1Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society, ou_2340692              

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 Abstract: Errors in the processing of genetic information during protein synthesis can lead to phenotypic mutations, such as amino acid substitutions, e.g. by transcription or translation errors. While genetic mutations can be readily identified using DNA sequencing, and mutations due to transcription errors by RNA sequencing, translation errors can only be identified proteome-wide using mass spectrometry.

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 Dates: 2024-07-01
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.1093/bioinformatics/btae424
Other: cbg-8744
PMID: 38941503
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Title: Bioinformatics (Oxford, England)
  Other : Bioinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 40 (7) Sequence Number: btae424 Start / End Page: - Identifier: -