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SRCP: a comprehensive pipeline for accurate annotation and quantification of circRNAs.
Rabin, Avigayel; Zaffagni, Michela; Ashwal-Fluss, Reut; Patop, Ines Lucia; Jajoo, Aarti; Shenzis, Shlomo; Carmel, Liran; Kadener, Sebastian.
Affiliation
  • Rabin A; Biological Chemistry Department, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
  • Zaffagni M; Biology Department, Brandeis University, Waltham, MA, 02454, USA.
  • Ashwal-Fluss R; Biological Chemistry Department, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
  • Patop IL; Biology Department, Brandeis University, Waltham, MA, 02454, USA.
  • Jajoo A; Biology Department, Brandeis University, Waltham, MA, 02454, USA.
  • Shenzis S; Biological Chemistry Department, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
  • Carmel L; Department of Genetics, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
  • Kadener S; Biological Chemistry Department, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel. skadener@brandeis.edu.
Genome Biol ; 22(1): 277, 2021 09 23.
Article in En | MEDLINE | ID: mdl-34556162
ABSTRACT
Here we describe a new integrative approach for accurate annotation and quantification of circRNAs named Short Read circRNA Pipeline (SRCP). Our strategy involves two

steps:

annotation of validated circRNAs followed by a quantification step. We show that SRCP is more sensitive than other individual pipelines and allows for more comprehensive quantification of a larger number of differentially expressed circRNAs. To facilitate the use of SRCP, we generate a comprehensive collection of validated circRNAs in five different organisms, including humans. We then utilize our approach and identify a subset of circRNAs bound to the miRNA-effector protein AGO2 in human brain samples.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Molecular Sequence Annotation / RNA, Circular Limits: Animals / Humans Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2021 Type: Article Affiliation country: Israel

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Molecular Sequence Annotation / RNA, Circular Limits: Animals / Humans Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2021 Type: Article Affiliation country: Israel