Application of annotation-agnostic RNA sequencing data analysis tools for biomarker discovery in liquid biopsy.

ABSTRACT: RNA sequencing analysis is an important field in the study of extracellular vesicles (EVs), as these particles contain a variety of RNA species that may have diagnostic, prognostic and predictive value. Many of the bioinformatics tools currently used to analyze EV cargo rely on third-party annotations. Recently, analysis of unannotated expressed RNAs has become of interest, since these may provide complementary information to traditional annotated biomarkers or may help refine biological signatures used in machine learning by including unknown regions. Here we perform a comparative analysis of annotation-free and classical read-summarization tools for the analysis of RNA sequencing data generated for EVs isolated from persons with amyotrophic lateral sclerosis (ALS) and healthy donors. Dif

SUBMITTER: Wajnberg G 

PROVIDER: S-EPMC10213969 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature