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Alternative splicing identification software tools | Single-cell RNA sequencing data analysis

Alternative splicing identification software tools | Single-cell RNA sequencing data analysis

Single cell RNA-seq experiments provide valuable insight into cellular heterogeneity but suffer from low coverage, 3' bias and technical noise. These unique properties of single cell RNA-seq data make study of alternative splicing difficult, and thus most single cell studies have restricted analysis of transcriptome variation to the gene level.

Source text:
(Welch et al., 2016) Robust detection of alternative splicing in a population of single cells. Nucleic Acids Res.

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