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Amino acid mutation identification software tools | Mass spectrometry-based untargeted proteomics

Amino acid mutations in proteins can be found by searching tandem mass spectra acquired in shotgun proteomics experiments against protein sequences predicted from genomes. Traditionally, unconstrained searches for amino acid mutations have been accomplished by using a sequence tagging approach that combines de novo sequencing with database searching.

Source text:
(Hyatt and Pan 2012) Exhaustive database searching for amino acid mutations in proteomes. Bioinformatics.

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PEAKS
Identifies peptides from a sequence database with tandem mass spectrometry data. PEAKS employs de novo sequencing as a subroutine and exploits the de novo sequencing results to improve both the speed and accuracy of the database search. Each protein obtains a score by adding its three highest peptide CAA scores, and the protein feature of a peptide is the maximum score of the proteins containing this peptide. PEAKS also provides a user-friendly interface to show each resultant peptide spectrum match from de novo sequencing.
TagRecon
An open-source software that leverages inferred sequence tags to identify unanticipated mutations from clinical proteomic data sets. TagRecon can effectively identify peptides even in the face of errors in their corresponding FASTA entries. The software outperformed other published algorithms in identifying mutant peptides from cancer samples. TagRecon is incorporated into a computational pipeline built for high-throughput environments. Analysis of colon cancer data sets with TagRecon revealed modifications associated with extracellular matrix degradation.
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