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FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification
Circular RNAs (circRNAs) are formed by joining the 3′ and 5′ ends of RNA molecules. Identification of circRNAs is an important part of circRNA research. The circRNA prediction methods can predict the circRNAs with start and end positions in the chromosome but cannot identify the full-length circRNA...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285417/ https://www.ncbi.nlm.nih.gov/pubmed/32566642 http://dx.doi.org/10.1155/2020/9084901 |
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author | Hossain, Md. Tofazzal Peng, Yin Feng, Shengzhong Wei, Yanjie |
author_facet | Hossain, Md. Tofazzal Peng, Yin Feng, Shengzhong Wei, Yanjie |
author_sort | Hossain, Md. Tofazzal |
collection | PubMed |
description | Circular RNAs (circRNAs) are formed by joining the 3′ and 5′ ends of RNA molecules. Identification of circRNAs is an important part of circRNA research. The circRNA prediction methods can predict the circRNAs with start and end positions in the chromosome but cannot identify the full-length circRNA sequences. We present an R package FcircSEC (Full Length circRNA Sequence Extraction and Classification) to extract the full-length circRNA sequences based on gene annotation and the output of any circRNA prediction tools whose output has a chromosome, start and end positions, and a strand for each circRNA. To validate FcircSEC, we have used three databases, circbase, circRNAdb, and plantcircbase. With information such as the chromosome and strand of each circRNA as the input, the identified sequences by FcircSEC are consistent with the databases. The novelty of FcircSEC is that it can take the output of state-of-the-art circRNA prediction tools as input and is applicable for human and other species. We also classify the circRNAs as exonic, intronic, and others. The R package FcircSEC is freely available. |
format | Online Article Text |
id | pubmed-7285417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-72854172020-06-20 FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification Hossain, Md. Tofazzal Peng, Yin Feng, Shengzhong Wei, Yanjie Int J Genomics Research Article Circular RNAs (circRNAs) are formed by joining the 3′ and 5′ ends of RNA molecules. Identification of circRNAs is an important part of circRNA research. The circRNA prediction methods can predict the circRNAs with start and end positions in the chromosome but cannot identify the full-length circRNA sequences. We present an R package FcircSEC (Full Length circRNA Sequence Extraction and Classification) to extract the full-length circRNA sequences based on gene annotation and the output of any circRNA prediction tools whose output has a chromosome, start and end positions, and a strand for each circRNA. To validate FcircSEC, we have used three databases, circbase, circRNAdb, and plantcircbase. With information such as the chromosome and strand of each circRNA as the input, the identified sequences by FcircSEC are consistent with the databases. The novelty of FcircSEC is that it can take the output of state-of-the-art circRNA prediction tools as input and is applicable for human and other species. We also classify the circRNAs as exonic, intronic, and others. The R package FcircSEC is freely available. Hindawi 2020-05-28 /pmc/articles/PMC7285417/ /pubmed/32566642 http://dx.doi.org/10.1155/2020/9084901 Text en Copyright © 2020 Md. Tofazzal Hossain et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hossain, Md. Tofazzal Peng, Yin Feng, Shengzhong Wei, Yanjie FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification |
title | FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification |
title_full | FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification |
title_fullStr | FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification |
title_full_unstemmed | FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification |
title_short | FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification |
title_sort | fcircsec: an r package for full length circrna sequence extraction and classification |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285417/ https://www.ncbi.nlm.nih.gov/pubmed/32566642 http://dx.doi.org/10.1155/2020/9084901 |
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