RT Journal Article
SR Electronic
T1 <em>ascend</em>: R package for analysis of single cell RNA-seq data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 207704
DO 10.1101/207704
A1 Anne Senabouth
A1 Samuel W Lukowski
A1 Jose Alquicira Hernandez
A1 Stacey Andersen
A1 Xin Mei
A1 Quan H Nguyen
A1 Joseph E Powell
YR 2017
UL http://biorxiv.org/content/early/2017/10/23/207704.abstract
AB Summary ascend is an R package comprised of fast, streamlined analysis functions optimized to address the statistical challenges of single cell RNA-seq. The package incorporates novel and established methods to provide a flexible framework to perform filtering, quality control, normalization, dimension reduction, clustering, differential expression and a wide-range of plotting. ascend is designed to work with scRNA-seq data generated by any high-throughput platform, and includes functions to convert data objects between software packages.Availability The R package and associated vignettes are freely available at https://github.com/IMB-Computational-Genomics-Lab/ascend.Contact joseph.powell{at}uq.edu.auSupplementary information An example dataset is available at ArrayExpress, accession number E-MTAB-6108