Tag Archives: UC Berkeley

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”- ...

Increased emphasis on reproducibility of published research in the last few years has led to the large-scale archiving of sequencing data. While this data can, in theory, be used to reproduce results in papers, it is typically not easily usable ...

Bioengineering 200 – Spring 2015 Single-cell analysis with RNA sequencing, quantitative imaging and microfluidics The Graduate Group Introductory Seminar – Kevin Healy – UC Berkeley