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.
An easy-to-use application for microarray, RNA-Seq and metabolomics analysis. For splicing sensitive platforms (RNA-Seq or Affymetrix Exon, Gene and Junction arrays), AltAnalyze will assess alternative exon (known and novel) expression along protein isoforms, domain composition and microRNA targeting. In addition to splicing-sensitive platforms, AltAnalyze provides comprehensive methods for the analysis of other data (RMA summarization, batch-effect removal, QC, statistics, annotation, clustering, network creation, lineage characterization, alternative exon visualization, gene-set enrichment and more).
A tool for studying alternative splicing using single cell RNA-seq data. SingleSplice uses a statistical model to detect genes whose isoform usage varies more than expected from the effects of technical noise alone. Importantly, SingleSplice detects such isoform usage differences without attempting to infer expression levels for full-length transcripts. To the best of our knowledge, SingleSplice is the first method that can detect genes whose isoform usage shows significant variation across a set of single cells.
Quantifies splicing in individual single cells. BRIE is a flexible framework that detects differential splicing between individual cells from scRNA-seq data. This method was developed for modelling and, while sequence features are particularly appealing due to their ease of usage and availability, additional side information, such as DNA methylation and chromatin accessibility, could easily be incorporated.
Provides several interlocking programs that analyze mutations in genes. MutationForecaster is a system that interprets non-coding variants altering recognition of binding sites in genomic DNA (transcription factors) and mRNA (splicing, RNA binding proteins). This suite allows, among other features, to identify splicing and promoter mutations in gene panels, exomes, and genomes, to analyze coding sequence changes, or to validate splicing mutations with RNA-Seq data.
A method for analysis and characterization of single-cell isoform-level gene expression data. ISOP enables analysis of single-cell preference, commitment and heterogeneity of isoform level expression. Based on this method, we defined a set of six principal patterns of isoform expression relationships between isoforms from the same gene, including isoform preference, bimodal isoform preference, and mutually exclusive expression commitment.
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