Discover our collection of 8 research tools and applications for rna splicing.
Found 8 of 8 tools
Arriba is a command-line tool to detect gene fusions from RNA-Seq data based on the STAR aligner. In addition to fusions, it can detect exon duplications/inversions and truncations of genes (i.e., breakpoints in introns and intergenic regions). Arriba is the winner of the DREAM SMC-RNA Challenge.
BBMap is a fast splice-aware aligner for RNA and DNA. It is faster than almost all short-read aligners, yet retains unrivaled sensitivity and specificity, particularly for reads with many errors and indels.
Genome-wide annotation of circRNAs and their alternative back-splicing/splicing.
Cufflinks assembles transcripts and estimates their abundances in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one.
A software package for analyzing various features of gene models.
Splice-aware RNA-seq mapper for long reads | GraphMap - A highly sensitive and accurate mapper for long, error-prone reads.
CellRank is a package for mapping the fate of single cells in diverse scenarios, including perturbations such as regeneration or disease, for which direction is unknown. The approach combines the robustness of trajectory inference with directional information from RNA velocity, derived from ratios of spliced to unspliced reads. CellRank takes into account both the gradual and stochastic nature of cellular fate decisions, as well as uncertainty in RNA velocity vectors
CellRank is a package for mapping the fate of single cells in diverse scenarios, including perturbations such as regeneration or disease, for which direction is unknown. The approach combines the robustness of trajectory inference with directional information from RNA velocity, derived from ratios of spliced to unspliced reads. CellRank takes into account both the gradual and stochastic nature of cellular fate decisions, as well as uncertainty in RNA velocity vectors