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SRCP: a comprehensive pipeline for accurate annotation and quantification of circRNAs
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459468/ https://www.ncbi.nlm.nih.gov/pubmed/34556162 http://dx.doi.org/10.1186/s13059-021-02497-7 |
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author | Rabin, Avigayel Zaffagni, Michela Ashwal-Fluss, Reut Patop, Ines Lucia Jajoo, Aarti Shenzis, Shlomo Carmel, Liran Kadener, Sebastian |
author_facet | Rabin, Avigayel Zaffagni, Michela Ashwal-Fluss, Reut Patop, Ines Lucia Jajoo, Aarti Shenzis, Shlomo Carmel, Liran Kadener, Sebastian |
author_sort | Rabin, Avigayel |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02497-7. |
format | Online Article Text |
id | pubmed-8459468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84594682021-09-23 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 Genome Biol Method 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02497-7. BioMed Central 2021-09-23 /pmc/articles/PMC8459468/ /pubmed/34556162 http://dx.doi.org/10.1186/s13059-021-02497-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Method Rabin, Avigayel Zaffagni, Michela Ashwal-Fluss, Reut Patop, Ines Lucia Jajoo, Aarti Shenzis, Shlomo Carmel, Liran Kadener, Sebastian SRCP: a comprehensive pipeline for accurate annotation and quantification of circRNAs |
title | SRCP: a comprehensive pipeline for accurate annotation and quantification of circRNAs |
title_full | SRCP: a comprehensive pipeline for accurate annotation and quantification of circRNAs |
title_fullStr | SRCP: a comprehensive pipeline for accurate annotation and quantification of circRNAs |
title_full_unstemmed | SRCP: a comprehensive pipeline for accurate annotation and quantification of circRNAs |
title_short | SRCP: a comprehensive pipeline for accurate annotation and quantification of circRNAs |
title_sort | srcp: a comprehensive pipeline for accurate annotation and quantification of circrnas |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459468/ https://www.ncbi.nlm.nih.gov/pubmed/34556162 http://dx.doi.org/10.1186/s13059-021-02497-7 |
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