A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry

A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry

Mass spectrometry (MS) enables identification of modified RNA residues, but high-throughput processing is currently a bottleneck. Here, the authors present a free and open-source database search engine for RNA MS data to facilitate reliable identification of modified RNA sequences.

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Autores principales: Samuel Wein, Byron Andrews, Timo Sachsenberg, Helena Santos-Rosa, Oliver Kohlbacher, Tony Kouzarides, Benjamin A. Garcia, Hendrik Weisser
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/3d1187b1870042518abd5163793bbe16
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spelling oai:doaj.org-article:3d1187b1870042518abd5163793bbe162021-12-02T14:42:49ZA computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry10.1038/s41467-020-14665-72041-1723https://doaj.org/article/3d1187b1870042518abd5163793bbe162020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14665-7https://doaj.org/toc/2041-1723Mass spectrometry (MS) enables identification of modified RNA residues, but high-throughput processing is currently a bottleneck. Here, the authors present a free and open-source database search engine for RNA MS data to facilitate reliable identification of modified RNA sequences.Samuel WeinByron AndrewsTimo SachsenbergHelena Santos-RosaOliver KohlbacherTony KouzaridesBenjamin A. GarciaHendrik WeisserNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Samuel Wein
Byron Andrews
Timo Sachsenberg
Helena Santos-Rosa
Oliver Kohlbacher
Tony Kouzarides
Benjamin A. Garcia
Hendrik Weisser
A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry
description Mass spectrometry (MS) enables identification of modified RNA residues, but high-throughput processing is currently a bottleneck. Here, the authors present a free and open-source database search engine for RNA MS data to facilitate reliable identification of modified RNA sequences.
format article
author Samuel Wein
Byron Andrews
Timo Sachsenberg
Helena Santos-Rosa
Oliver Kohlbacher
Tony Kouzarides
Benjamin A. Garcia
Hendrik Weisser
author_facet Samuel Wein
Byron Andrews
Timo Sachsenberg
Helena Santos-Rosa
Oliver Kohlbacher
Tony Kouzarides
Benjamin A. Garcia
Hendrik Weisser
author_sort Samuel Wein
title A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry
title_short A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry
title_full A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry
title_fullStr A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry
title_full_unstemmed A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry
title_sort computational platform for high-throughput analysis of rna sequences and modifications by mass spectrometry
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/3d1187b1870042518abd5163793bbe16
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