CICERO – a versatile method for detecting complex and diverse driver fusions using cancer RNA sequencing data

June 1, 2020 Leave a comment 1,593 Views

To discover driver fusions beyond canonical exon-to-exon chimeric transcripts, researchers at St. Jude Children’s Research Hospital have developed CICERO, a local assembly-based algorithm that integrates...

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CICERO – a versatile method for detecting complex and diverse driver fusions using cancer RNA sequencing data

spSeudoMap – cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data

SoCube – an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data

Quantabio adds powerful bead booster chemistry to ultra-fast sparQ RNA-Seq HMR kit

SiT – spatial isoform transcriptomics

Analysis of single-cell rna-seq data

AllenDigger – spatial expression data visualization, spatial heterogeneity delineation, and single-cell registration based on the Allen Brain Atlas

New research identifies an inaccuracy in the single cell GENCODE gene model