Comparing Peptide Spectra Matches Across Search Engines

Rune Matthiesen, Gorka Prieto, Hans Christian Beck

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

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.

OriginalsprogEngelsk
TidsskriftMethods in Molecular Biology
Vol/bind2051
Sider (fra-til)133-143
Antal sider11
ISSN1064-3745
DOI
StatusUdgivet - 2020

Fingeraftryk

Search Engine
Peptides
Databases
Complex Mixtures
Trypsin
Research

Citer dette

Matthiesen, Rune ; Prieto, Gorka ; Beck, Hans Christian. / Comparing Peptide Spectra Matches Across Search Engines. I: Methods in Molecular Biology. 2020 ; Bind 2051. s. 133-143.
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Comparing Peptide Spectra Matches Across Search Engines. / Matthiesen, Rune; Prieto, Gorka; Beck, Hans Christian.

I: Methods in Molecular Biology, Bind 2051, 2020, s. 133-143.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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