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Comparing Peptide Spectra Matches Across Search Engines

Authors :
Hans Christian Beck
Rune Matthiesen
Gorka Prieto
Matthiesen, Rune
Source :
Mass Spectrometry Data Analysis in Proteomics ISBN: 9781493997435, Matthiesen, R, Prieto, G & Beck, H C 2020, Comparing Peptide Spectra Matches Across Search Engines . in R Matthiesen (ed.), Mass Spectrometry Data Analysis in Proteomics . 3. edn, Humana Press, Methods in Molecular Biology, vol. 2051, pp. 133-143 . https://doi.org/10.1007/978-1-4939-9744-2_5
Publication Year :
2019
Publisher :
Springer New York, 2019.

Abstract

Mass spectrometry is extremely efficient for sequencing small peptides generated by, for example, a trypsin digestion of a complex mixture. Current instruments have the capacity to generate 50-100 K MSMS spectra from a single run. Of these ~30-50% is typically assigned to peptide matches on a 1% FDR threshold. The remaining spectra need more research to explain. We address here whether the 30-50% matched spectra provide consensus matches when using different database-dependent search pipelines. Although the majority of the spectra peptide assignments concur across search engines, our conclusion is that database-dependent search engines still require improvements.

Details

ISBN :
978-1-4939-9743-5
ISBNs :
9781493997435
Database :
OpenAIRE
Journal :
Mass Spectrometry Data Analysis in Proteomics ISBN: 9781493997435, Matthiesen, R, Prieto, G & Beck, H C 2020, Comparing Peptide Spectra Matches Across Search Engines . in R Matthiesen (ed.), Mass Spectrometry Data Analysis in Proteomics . 3. edn, Humana Press, Methods in Molecular Biology, vol. 2051, pp. 133-143 . https://doi.org/10.1007/978-1-4939-9744-2_5
Accession number :
edsair.doi.dedup.....dc593781298e6c0e83c588756f25f763
Full Text :
https://doi.org/10.1007/978-1-4939-9744-2_5