AQUARIUM_HB: a bioinformatics pipeline for human blood circular RNA analysis

Authors:
  • SYShaoxun Yuan
    Shaoxun Yuan
  • XBXue Bai
    Xue Bai
  • LLLinwei Li
    Linwei Li
  • WGWanjun Gu
    Wanjun Gu
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Abstract
Accurately identifying and quantifying human blood circular RNAs (circRNAs) from RNA-seq data is a critical bioinformatics challenge in biomarker discovery for human diseases. In this study, we present AQUARIUM-HB, a comprehensive bioinformatics pipeline for identifying, quantifying, annotating, and analyzing circRNAs from human blood transcriptomes. AQUARIUM-HB includes three functional modules. First, it identifies and annotates circRNAs from rRNA-depleted RNA-seq datasets of human blood samples. Second, it performs an in-depth expression analysis of blood circRNAs. Third, it constructs a reference set of full-length blood circRNAs. We demonstrate the application of AQUARIUM-HB using a human blood RNA-seq dataset from COVID-19 patients, showcasing its potential for improving the accuracy and depth of circRNA biomarker discovery.

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