Search
Tutorial: Workflow for low-level analysis of single-cell RNA-seq data
3
gravatar for Aaron Lun
9 months ago by
Aaron Lun15k
Cambridge, United Kingdom
Aaron Lun15k wrote:

We have recently published a F1000Research workflow for low-level analyses of single-cell RNA-seq data:

http://f1000research.com/articles/5-2122/v1

It covers basic steps including quality control, data exploration and normalization, as well as more complex procedures such as cell cycle phase assignment, identification of highly variable and correlated genes, clustering into subpopulations and marker gene detection. We demonstrate the analyses on public data sets involving haematopoietic stem cells, brain-derived cells, T-helper cells and mouse embryonic stem cells. We hope that this article will be helpful to members of the Bioconductor community who are working on scRNA-seq data.

P.S. Currently the workflow depends on packages from BioC 3.4 (i.e., BioC-devel, for the time being).

ADD COMMENTlink modified 9 months ago • written 9 months ago by Aaron Lun15k
Please log in to add an answer.

Help
Access

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.2.0
Traffic: 360 users visited in the last hour