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Source:
https://www.biorxiv.org/content/10.1101/2023.09.15.558026v3.full

Figure 1.
A) Overview of the bamSliceRScheme
This schematic illustrates the bamSliceR pipeline, designed to efficiently retrieve metrics of variants from target regions across various data types, including DNA-Seq genomic BAMs, RNA Seq genomic BAMs, and RNA-Seq transcriptome BAMs.
B) bamSliceR utility to retrieve metrics of variants fromRNA-Seq transcriptome BAMs.

Source: https://www.biorxiv.org/content/10.1101/2023.09.15.558026v3.full Figure 1. A) Overview of the bamSliceRScheme This schematic illustrates the bamSliceR pipeline, designed to efficiently retrieve metrics of variants from target regions across various data types, including DNA-Seq genomic BAMs, RNA Seq genomic BAMs, and RNA-Seq transcriptome BAMs. B) bamSliceR utility to retrieve metrics of variants fromRNA-Seq transcriptome BAMs.

bamSliceR: a Bioconductor package for rapid, cross-cohort variant and allelic bias analysis. #VariantAnalysis #GenomicDataCommons #R #Genomics #Bioinformatics @biorxivpreprint.bsky.social 🧬 🖥️
www.biorxiv.org/content/10.1...
Github: github.com/trichelab/ba...

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