A versatile pipeline for processing dataset from 10X, indrop and Drop-seq.
See the beiseq/baseqDrops for details
for efficient processing
- memory >= 30Gb
- CPU cores >=8
- Desigante a folder for storing data files that will be mounted to the container, i.e. folder
data
mkdir data cd data
- Download and the reference genome from here
# Curerent References - 3.0.0 (November 19, 2018) # Example - Human reference (GRCh38) mkdir reference wget http://cf.10xgenomics.com/supp/cell-exp/refdata-cellranger-GRCh38-3.0.0.tar.gz tar xvzf refdata-cellranger-GRCh38-3.0.0.tar.gz
- Create the configuration file:
./create_config <genome> <container_path_to_reference_genome>
# Example ./create_config hg38 data/reference/refdata-cellranger-GRCh38-3.0.0 mv config_drop.ini data/
docker pull guoxindi/baseqdrops
# Example
docker run -v -it "$(pwd)"/data:/usr/app/data guoxindi/baseqdrops run-pipe --config data/config_drop.ini -g hg38 -p 10X -n 10X_sample -1 data/input/10X_R1.fastq.gz -2 data/input/10X_R2.fastq.gz -d data/output
See beiseq/baseqDrops for details.