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LIQA: long-read isoform quantification and analysis
Long-read RNA sequencing (RNA-seq) technologies can sequence full-length transcripts, facilitating the exploration of isoform-specific gene expression over short-read RNA-seq. We present LIQA to quantify isoform expression and detect differential alternative splicing (DAS) events using long-read dir...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212471/ https://www.ncbi.nlm.nih.gov/pubmed/34140043 http://dx.doi.org/10.1186/s13059-021-02399-8 |
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author | Hu, Yu Fang, Li Chen, Xuelian Zhong, Jiang F. Li, Mingyao Wang, Kai |
author_facet | Hu, Yu Fang, Li Chen, Xuelian Zhong, Jiang F. Li, Mingyao Wang, Kai |
author_sort | Hu, Yu |
collection | PubMed |
description | Long-read RNA sequencing (RNA-seq) technologies can sequence full-length transcripts, facilitating the exploration of isoform-specific gene expression over short-read RNA-seq. We present LIQA to quantify isoform expression and detect differential alternative splicing (DAS) events using long-read direct mRNA sequencing or cDNA sequencing data. LIQA incorporates base pair quality score and isoform-specific read length information in a survival model to assign different weights across reads, and uses an expectation-maximization algorithm for parameter estimation. We apply LIQA to long-read RNA-seq data from the Universal Human Reference, acute myeloid leukemia, and esophageal squamous epithelial cells and demonstrate its high accuracy in profiling alternative splicing events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02399-8. |
format | Online Article Text |
id | pubmed-8212471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82124712021-06-22 LIQA: long-read isoform quantification and analysis Hu, Yu Fang, Li Chen, Xuelian Zhong, Jiang F. Li, Mingyao Wang, Kai Genome Biol Method Long-read RNA sequencing (RNA-seq) technologies can sequence full-length transcripts, facilitating the exploration of isoform-specific gene expression over short-read RNA-seq. We present LIQA to quantify isoform expression and detect differential alternative splicing (DAS) events using long-read direct mRNA sequencing or cDNA sequencing data. LIQA incorporates base pair quality score and isoform-specific read length information in a survival model to assign different weights across reads, and uses an expectation-maximization algorithm for parameter estimation. We apply LIQA to long-read RNA-seq data from the Universal Human Reference, acute myeloid leukemia, and esophageal squamous epithelial cells and demonstrate its high accuracy in profiling alternative splicing events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02399-8. BioMed Central 2021-06-17 /pmc/articles/PMC8212471/ /pubmed/34140043 http://dx.doi.org/10.1186/s13059-021-02399-8 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 Hu, Yu Fang, Li Chen, Xuelian Zhong, Jiang F. Li, Mingyao Wang, Kai LIQA: long-read isoform quantification and analysis |
title | LIQA: long-read isoform quantification and analysis |
title_full | LIQA: long-read isoform quantification and analysis |
title_fullStr | LIQA: long-read isoform quantification and analysis |
title_full_unstemmed | LIQA: long-read isoform quantification and analysis |
title_short | LIQA: long-read isoform quantification and analysis |
title_sort | liqa: long-read isoform quantification and analysis |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212471/ https://www.ncbi.nlm.nih.gov/pubmed/34140043 http://dx.doi.org/10.1186/s13059-021-02399-8 |
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