FLASHIda enables intelligent data acquisition for top–down proteomics to boost proteoform identification counts

Kyowon Jeong; Maša Babović; Vladimir Gorshkov; Jihyung Kim; Ole N. Jensen; Oliver Kohlbacher

doi:10.1038/s41467-022-31922-z

Nature Communications (Jul 2022)

FLASHIda enables intelligent data acquisition for top–down proteomics to boost proteoform identification counts

Kyowon Jeong,
Maša Babović,
Vladimir Gorshkov,
Jihyung Kim,
Ole N. Jensen,
Oliver Kohlbacher

Affiliations

Kyowon Jeong: Applied Bioinformatics, Computer Science Department, University of Tübingen
Maša Babović: Department of Biochemistry & Molecular Biology and VILLUM Center for Bioanalytical Sciences, University of Southern Denmark
Vladimir Gorshkov: Department of Biochemistry & Molecular Biology and VILLUM Center for Bioanalytical Sciences, University of Southern Denmark
Jihyung Kim: Applied Bioinformatics, Computer Science Department, University of Tübingen
Ole N. Jensen: Department of Biochemistry & Molecular Biology and VILLUM Center for Bioanalytical Sciences, University of Southern Denmark
Oliver Kohlbacher: Applied Bioinformatics, Computer Science Department, University of Tübingen

DOI: https://doi.org/10.1038/s41467-022-31922-z
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 12

Abstract

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Data acquisition suitable for top-down proteomics (TDP) has the potential to significantly improve proteoform analysis. Here, the authors present FLASHIda, an intelligent online data acquisition algorithm for TDP that nearly doubles the number of proteoform-level identifications in complex samples.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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