Tumor ecosystems are composed of multiple cell types that communicate by ligand-receptor interactions. Targeting ligand-receptor interactions (for instance, with immune checkpoint inhibitors) can...
Read More »Discover hidden splicing variations by mapping personal transcriptomes to personal genomes
RNA-seq has become a popular technology for studying genetic variation of pre-mRNA alternative splicing. Commonly used RNA-seq aligners rely on the consensus splice site dinucleotide motifs to map reads across splice junctions. Consequently, genomic variants that create novel splice site ...
Read More »scLVM – identification of hidden subpopulations of cells in RNA-Seq data
Highlights New method improves single-cell genomics analyses; Method clarifies the true differences and similarities between cells by modelling relatedness and removing confounding variables; Scientists can use known molecular pathways to better understand cancer cells, differentiation processes and the pathogenesis of ...
Read More »READemption – A tool for the computational analysis of deep-sequencing-based transcriptome data
RNA-Seq has become a potent and widely used method to qualitatively and quantitatively study transcriptomes. In order to draw biological conclusions based on RNA-Seq data, several steps some of which are computationally intensive, have to be taken. Researchers at the ...
Read More »Upcoming Methods Workshop – Statistical and Computational Analysis of RNA-seq Data and Its Applications
Session Title: Statistical and Computational Analysis of RNAseq Data and Its Applications Session Type: Methods Workshop Session Start/End Time: Saturday, Apr 05, 2014, 10:15 AM -12:15 PM Location: Room 5, San Diego Convention Center CME: CME-Designated CME/CE Hours: 2 Session ...
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