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Dinosaur: refined open source peptide MS feature detector

ABSTRACT: In order to test the usability of the new MS feature detection algorithm Dinosaur, 8 samples were analyzed. These were selected to represent different proteomics experiments and cover the full range of sample different complexities, from synthetic peptides to whole tissue lysate. This project evolves around the development of a new MS1 feature detection tool, and the files were only used for MS1 feature detection and analysis. Therefore, no identification files exist and there is no scientific interest in generating these.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human) Streptococcus Pyogenes Serotype M1 (strain Atcc Baa-947 / Mgas5005) Mus Musculus (mouse)

TISSUE(S): Liver

SUBMITTER: Johan Teleman

LAB HEAD: Johan Malmström

PROVIDER: PXD003405 | Pride | 2016-06-08

REPOSITORIES: Pride

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Dinosaur: A Refined Open-Source Peptide MS Feature Detector.

Teleman Johan J Chawade Aakash A Sandin Marianne M Levander Fredrik F Malmström Johan J

Journal of proteome research 20160608 7

In bottom-up mass spectrometry (MS)-based proteomics, peptide isotopic and chromatographic traces (features) are frequently used for label-free quantification in data-dependent acquisition MS but can also be used for the improved identification of chimeric spectra or sample complexity characterization. Feature detection is difficult because of the high complexity of MS proteomics data from biological samples, which frequently causes features to intermingle. In addition, existing feature detectio ...[more]

PMID: 27224449

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