[[Category:Software]][[Category:Bioinformatics]]{{draft}} [https://github.com/Teichlab/bracer BraCeR] - reconstruction of B cell receptor sequences from single-cell RNA-seq data. == Installation == The follwing will install parts of BraCeR in the following locations: * Content of the BraCeR Git-reposistory: $HOME/bracer * Virtual Python environment: $HOME/venv_bracer * Transcriptome databeses for Kallisto: /scratch/$USER/GRCh38 and /scratch/$USER/GRCm38 However it could also be structured differently. Please refer to our [[Storage and file management#Storage_types|Storage and file management]] page for a comparism of the different storeage types available. # BraCeR installation instructions as of August 2022. # Get bracer cd ~/ git clone https://github.com/Teichlab/bracer.git # load modules module load StdEnv/2020 module load python/3.8 module load gcc/9.3.0 bowtie2/2.4.1 bowtie/1.3.0 trinity/2.14.0 samtools/1.15.1 module load igblast/1.17.0 blast+/2.12.0 kallisto/0.46.1 module load samtools/1.15.1 jellyfish/2.3.0 module load salmon/1.7.0 fastqc/0.11.9 # create a virtualenv for bracer and install dependencies virtualenv --no-download ~/venv_bracer source ~/venv_bracer/bin/activate pip install --no-index biopython==1.77 pip install --no-index -r ~/bracer/requirements.txt pip install --no-index graphviz # install bracer into venv cd ~/bracer/ python setup.py install # install Trim Galore pusd $VIRTUAL_ENV/ ## download and extract Trim Galore wget https://github.com/FelixKrueger/TrimGalore/archive/refs/tags/0.6.7.tar.gz \ -O TrimGalore-0.6.7.tar.gz tar xzf TrimGalore-0.6.7.tar.gz # tweak the Perl "hashbang": sed -i 's&#!/usr/bin/perl&#!/usr/bin/env perl&' TrimGalore-0.6.7/trim_galore # copy the trim_galore Perl-script into the virtualenv's "bin" directory: cp TrimGalore-0.6.7/trim_galore $VIRTUAL_ENV/bin popd # Base transcriptomes for Kallisto # adapted https://github.com/Teichlab/bracer#base-transcriptomes-for-kallisto # to download from https://www.gencodegenes.org/ # This downloads the latest releases 41 (Human) and M30 (mouse) respectively cd ~/scratch mkdir GRCh38 cd GRCh38 wget https://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_human/release_41/gencode.v41.transcripts.fa.gz gunzip gencode.v41.transcripts.fa.gz python3 ~/bracer/docker_helper_files/gencode_parse.py gencode.v27.transcripts.fa cd .. mkdir GRCm38 cd GRCm38 wget https://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_mouse/release_M30/gencode.vM30.transcripts.fa.gz gunzip gencode.vM30.transcripts.fa.gz python3 ~/bracer/docker_helper_files/gencode_parse.py gencode.vM30.transcripts.fa cd ~/ == Running Bracer == Note: Make sure to replace USERNAME with your username in the bracer.conf: === Bracer.conf === {{File |name=bracer.conf |lang="ini" |contents= # Configuration file for BraCeR# [tool_locations] # paths to tools used by BraCeR for alignment, quantitation, etc # As all tools are in the PATH this section can be empty [trinity_options] # line below specifies maximum memory for Trinity Jellyfish component. # Set it appropriately for your environment. max_jellyfish_memory = 15G # undocumented option trinity_version = 2 [kallisto_transcriptomes] Hsap = /scratch/USERNAME/GRCh38 Mmus = /scratch/USERNAME/GRCm38 [bracer_location] #Path to where BraCeR was originally installed bracer_path = /home/USERNAME/bracer/ }} === Jobscript === {{File |name=bracer_job.sh |lang="bash" |contents= #!/bin/bash #SBATCH --time=0-00:30 # 30 minutes (D-hh:mm) #SBATCH --cpus-per-task=4 #SBATCH --mem-per-cpu=4000M module load StdEnv/2020 module load gcc/9.3.0 bowtie2/2.4.1 bowtie/1.3.0 trinity/2.14.0 samtools/1.15.1 module load igblast/1.17.0 blast+/2.12.0 kallisto/0.46.1 module load samtools/1.15.1 jellyfish/2.3.0 module load salmon/1.7.0 fastqc/0.11.9 echo "---------------------------------------------------------------------" module -w 80 list echo "---------------------------------------------------------------------" source ~/venv_bracer/bin/activate bracer assemble --ncores ${SLURM_CPUS_PER_TASK:-1} --config_file bracer.conf \ my_cell_name ./my_output_directory/ file_001.fastq file_002.fastq \ }}