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

ABSTRACT: The field of epitranscriptomics continues to reveal how post-transcriptional modification of RNA affects a wide variety of biological phenomena. A pivotal challenge in this area is the identification of modified RNA residues within their sequence contexts. Mass spectrometry (MS) offers a comprehensive solution by using analogous approaches to shotgun proteomics. However, software support for the analysis of RNA MS data is inadequate at present and does not allow high-throughput processing. Existing software solutions lack the raw performance and statistical grounding to efficiently handle the numerous modifications found on RNA. We present a free and open-source database search engine for RNA MS data, called NucleicAcidSearchEngine (NASE), that addresses these shortcomings. We demonstrate

SUBMITTER: Wein S 

PROVIDER: S-EPMC7026122 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature