Scientist at EMBL-EBI have published a new approach to single cell genomics based on single cell analysis using RNA-seq.  The method is called single-cell latent variable model (scLVM) and was published in the Nature Biotechnology this week.  The new method helps scientists create a more accurate picture of gene expression in different cell types, and reveals hidden subtypes of cells.  Read…

As has been shown again and again, seemingly homogeneous cell populations often consist of more than one cell type, which can confound research results. Single-cell research offers a bottom-up approach to circumventing such unwanted cellular heterogeneity. As a testament to its potential promise, the NIH has committed ~$90 million over 5 years to single cell analysis research. At Percepta,…