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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...

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Detalles Bibliográficos
Autores principales: Hu, Yu, Fang, Li, Chen, Xuelian, Zhong, Jiang F., Li, Mingyao, Wang, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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.
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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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