Back to Search
Start Over
Computational Analysis of circRNA Expression Data.
- Source :
-
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2021; Vol. 2284, pp. 181-192. - Publication Year :
- 2021
-
Abstract
- Analysis of circular RNA (circRNA) expression from RNA-Seq data can be performed with different algorithms and analysis pipelines, tools allowing the extraction of heterogeneous information on the expression of this novel class of RNAs. Computational pipelines were developed to facilitate the analysis of circRNA expression by leveraging different public tools in easy-to-use pipelines. This chapter describes the complete workflow for a computationally reproducible analysis of circRNA expression starting for a public RNA-Seq experiment. The main steps of circRNA prediction, annotation, classification, sequence reconstruction, quantification, and differential expression are illustrated.
- Subjects :
- Algorithms
Datasets as Topic statistics & numerical data
Humans
RNA, Circular chemistry
RNA, Circular genetics
RNA, Untranslated analysis
RNA, Untranslated chemistry
RNA, Untranslated genetics
RNA-Seq statistics & numerical data
Sequence Analysis, RNA
Software
Transcriptome
Computational Biology methods
RNA, Circular analysis
RNA-Seq methods
Subjects
Details
- Language :
- English
- ISSN :
- 1940-6029
- Volume :
- 2284
- Database :
- MEDLINE
- Journal :
- Methods in molecular biology (Clifton, N.J.)
- Publication Type :
- Academic Journal
- Accession number :
- 33835443
- Full Text :
- https://doi.org/10.1007/978-1-0716-1307-8_10