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Alternative splicing analysis benchmark with DICAST
by
Fenn, Amit
, Louadi, Zakaria
, Kacprowski, Tim
, Faro, Tim
, Lio, Chit Tong
, List, Markus
, Rößler, Fanny L M
, Dietrich, Alexander
, Baumbach, Jan
, Tsoy, Olga
, Kersting, Johannes
, Völker, Uwe
in
Alternative splicing
/ Bioinformatics
/ Datasets
/ Genomes
/ Genomics
/ Mapping
/ Methods and Benchmark Surveys
/ Proteomes
/ Simulation
/ Transcriptomes
2023
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Alternative splicing analysis benchmark with DICAST
by
Fenn, Amit
, Louadi, Zakaria
, Kacprowski, Tim
, Faro, Tim
, Lio, Chit Tong
, List, Markus
, Rößler, Fanny L M
, Dietrich, Alexander
, Baumbach, Jan
, Tsoy, Olga
, Kersting, Johannes
, Völker, Uwe
in
Alternative splicing
/ Bioinformatics
/ Datasets
/ Genomes
/ Genomics
/ Mapping
/ Methods and Benchmark Surveys
/ Proteomes
/ Simulation
/ Transcriptomes
2023
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Alternative splicing analysis benchmark with DICAST
by
Fenn, Amit
, Louadi, Zakaria
, Kacprowski, Tim
, Faro, Tim
, Lio, Chit Tong
, List, Markus
, Rößler, Fanny L M
, Dietrich, Alexander
, Baumbach, Jan
, Tsoy, Olga
, Kersting, Johannes
, Völker, Uwe
in
Alternative splicing
/ Bioinformatics
/ Datasets
/ Genomes
/ Genomics
/ Mapping
/ Methods and Benchmark Surveys
/ Proteomes
/ Simulation
/ Transcriptomes
2023
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Journal Article
Alternative splicing analysis benchmark with DICAST
2023
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Overview
Abstract
Alternative splicing is a major contributor to transcriptome and proteome diversity in health and disease. A plethora of tools have been developed for studying alternative splicing in RNA-seq data. Previous benchmarks focused on isoform quantification and mapping. They neglected event detection tools, which arguably provide the most detailed insights into the alternative splicing process. DICAST offers a modular and extensible framework for analysing alternative splicing integrating eleven splice-aware mapping and eight event detection tools. We benchmark all tools extensively on simulated as well as whole blood RNA-seq data. STAR and HISAT2 demonstrated the best balance between performance and run time. The performance of event detection tools varies widely with no tool outperforming all others. DICAST allows researchers to employ a consensus approach to consider the most successful tools jointly for robust event detection. Furthermore, we propose the first reporting standard to unify existing formats and to guide future tool development.
Publisher
Oxford University Press
Subject
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