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Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data
BACKGROUND: Alternative splicing (AS) is a posttranscriptional process that produces differ-ent transcripts from the same gene and is important to produce diverse protein products in response to environmental stimuli. AS occurs at specific sites on the mRNA sequence, some of which have been de-fined...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476949/ https://www.ncbi.nlm.nih.gov/pubmed/28659722 http://dx.doi.org/10.2174/1389202918666170215125048 |
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author | Ding, Lizhong Rath, Ethan Bai, Yongsheng |
author_facet | Ding, Lizhong Rath, Ethan Bai, Yongsheng |
author_sort | Ding, Lizhong |
collection | PubMed |
description | BACKGROUND: Alternative splicing (AS) is a posttranscriptional process that produces differ-ent transcripts from the same gene and is important to produce diverse protein products in response to environmental stimuli. AS occurs at specific sites on the mRNA sequence, some of which have been de-fined. Multiple bioinformatics tools have been developed to detect AS from experimental data. OBJECTIVES: The goal of this review is to help researchers use specific tools to aid their research and to develop new AS detection tools based on these previously established tools. METHOD: We selected 15 AS detection tools that were recently published; we classified and delineated them on several aspects. Also, a performance comparison of these tools with the same starting input was conducted. RESULT: We reviewed the following categorized features of the tools: Publication information, working principles, generic and distinct workflows, running platform, input data requirement, sequencing depth dependency, reads mapped to multiple locations, isoform annotation basis, precise detected AS types, and performance benchmarks. CONCLUSION: Through comparisons of these tools, we provide a panorama of the advantages and short-comings of each tool and their scopes of application. |
format | Online Article Text |
id | pubmed-5476949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-54769492017-12-01 Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data Ding, Lizhong Rath, Ethan Bai, Yongsheng Curr Genomics Article BACKGROUND: Alternative splicing (AS) is a posttranscriptional process that produces differ-ent transcripts from the same gene and is important to produce diverse protein products in response to environmental stimuli. AS occurs at specific sites on the mRNA sequence, some of which have been de-fined. Multiple bioinformatics tools have been developed to detect AS from experimental data. OBJECTIVES: The goal of this review is to help researchers use specific tools to aid their research and to develop new AS detection tools based on these previously established tools. METHOD: We selected 15 AS detection tools that were recently published; we classified and delineated them on several aspects. Also, a performance comparison of these tools with the same starting input was conducted. RESULT: We reviewed the following categorized features of the tools: Publication information, working principles, generic and distinct workflows, running platform, input data requirement, sequencing depth dependency, reads mapped to multiple locations, isoform annotation basis, precise detected AS types, and performance benchmarks. CONCLUSION: Through comparisons of these tools, we provide a panorama of the advantages and short-comings of each tool and their scopes of application. Bentham Science Publishers 2017-06 2017-06 /pmc/articles/PMC5476949/ /pubmed/28659722 http://dx.doi.org/10.2174/1389202918666170215125048 Text en © 2017 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Ding, Lizhong Rath, Ethan Bai, Yongsheng Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data |
title | Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data |
title_full | Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data |
title_fullStr | Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data |
title_full_unstemmed | Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data |
title_short | Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data |
title_sort | comparison of alternative splicing junction detection tools using rna-seq data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476949/ https://www.ncbi.nlm.nih.gov/pubmed/28659722 http://dx.doi.org/10.2174/1389202918666170215125048 |
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