Benchmarking requires all dependent softwares to be installed beforehand.
For most softwares, a conda yaml file cellsnp-lite.benchmark.conda.yml is provided, which is aimed to make the installation easier by simply running,
conda env create -f cellsnp-lite.benchmark.conda.yml
Then the softwares would be installed to a new conda env named CSP
. The global variable BIN_DIR
in config.sh should be set to absolute path to the bin
dir of CSP env (something like ~/.anaconda3/envs/CSP/bin).
Besides, vartrix should be downloaded with
wget https://github.com/10XGenomics/vartrix/releases/download/v1.1.16/vartrix_linux
and then unzipped and copied to BIN_DIR
.
Lastly, there are several R packages needed to be installed manually in CSP
env: argparse
, tibble
, stringr
, ggplot2
, dplyr
, tidyr
, ggrepel
by
conda activate CSP
R
# then install.packages(<package>) in R