RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step...
Read More »Scone – performance assessment and selection of normalization procedures for single-cell RNA-Seq
Systematic measurement biases make normalization an essential step in single-cell RNA sequencing (scRNA-seq) analysis. There may be multiple competing considerations behind the assessment of normalization performance, of which some may be study specific. Researchers at UC Berkeley have developed “scone”- ...
Read More »TCGA_RNASeq_Clinical – Alternative preprocessing of RNA-Sequencing data in The Cancer Genome Atlas
The Cancer Genome Atlas (TCGA) RNA-Sequencing data are used widely for research. TCGA provides “Le3” data, which have been processed using a pipeline specific to that resource. However, researchers from the University of Utah have found using experimentally derived data ...
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