Abstract
Motivation: Analysis of alternative splicing using short-read RNA-seq data is a complex process that involves several steps: alignment of reads to the reference genome, identification of alternatively spliced features, motif discovery, analysis of RNA-protein binding near donor and acceptor splice sites, and exploratory data visualization. To the best of our knowledge, there is currently no integrative open-source software dedicated to this task. Results: Here, we introduce splicekit, a Python package that provides and integrates a set of existing and novel splicing analysis tools for conducting splicing analysis.
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CITATION STYLE
Rot, G., Wehling, A., Schmucki, R., Berntenis, N., Zhang, J. D., & Ebeling, M. (2024). Splicekit: An integrative toolkit for splicing analysis from short-read RNA-seq. Bioinformatics Advances, 4(1). https://doi.org/10.1093/bioadv/vbae121
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