Computational comparison of common event-based differential splicing tools: practical considerations for laboratory researchers

Background Computational tools analyzing RNA-sequencing data have boosted alternative splicing research by identifying and assessing differentially spliced genes. However, common alternative splicing analysis tools differ substantially in their statistical analyses and general performance. This repo...

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Veröffentlicht in:	BMC bioinformatics Jg. 22; H. 1; S. 1 - 15
Hauptverfasser:	Muller, Ittai B., Meijers, Stijn, Kampstra, Peter, van Dijk, Steven, van Elswijk, Michel, Lin, Marry, Wojtuszkiewicz, Anna M., Jansen, Gerrit, de Jonge, Robert, Cloos, Jacqueline
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 26.06.2021 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Alternative splicing Analysis Bioinformatics Biomedical and Life Sciences Comparative analysis Computational biology Computational Biology/Bioinformatics Computational performance Computer Appl. in Life Sciences Computer applications Correlation coefficient Correlation coefficients Drug resistance Gene expression Gene sequencing Life Sciences Methods Microarrays Research Article Ribonucleic acid RNA RNA splicing RNA-sequencing Sequence analysis Software Splicing Statistical analysis Utilization Virtual environments Netherlands RNA-sequencing Computational performance Alternative splicing
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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