Papers: 10.1093/bioinformatics/btx631

https://doi.org/10.1093/bioinformatics/btx631

Towards unified quality verification of synthetic count data with <i>countsimQC</i>

Cited by: 39
Author(s): Charlotte Soneson, Mark D. Robinson
Published: almost 9 years ago

Software Mentions 5

bioconductor: compcodeR
RNAseq data simulation, differential expression analysis and performance comparison of differential expression methods
Papers that mentioned: 11
Very Likely Science (100)
bioconductor: countsimQC
Compare Characteristic Features of Count Data Sets
Papers that mentioned: 6
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: splatter
Simple Simulation of Single-cell RNA Sequencing Data
Papers that mentioned: 6
Very Likely Science (100)
pypi: splatter
Vizualizing multidimensional points in a pleasing and informative way
Papers that mentioned: 6
Very Likely Science (65)