SC3 – consensus clustering of single-cell RNA-Seq data

September 13, 2016 Leave a comment 5,305 Views

Using single-cell RNA-seq (scRNA-seq), the full transcriptome of individual cells can be acquired, enabling a quantitative cell-type characterisation based on expression profiles. However, due to the large variability in gene expression, identifying cell types based on the transcriptome remains challenging. ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: unsupervised clustering

SC3 – consensus clustering of single-cell RNA-Seq data

Poly-A enrichment or rRNA depletion – how library construction influences RNA sequencing data

AIR-seq – metabolic RNA labeling for probing RNA dynamics in bacteria

Featured RNA-Seq Job – Computational Biology Scientist, Cancer Immunology

Enriching pathogen transcripts from infected samples: a capture based approach to improved host-pathogen RNA-Seq

Associate Professor

Using single-cell RNA sequencing to disentangle the blood system

Arriba – accurate and efficient detection of gene fusions from RNA sequencing data