Sam’s Notebook: Transcriptome Assembly – Geoduck Tissue-specific Assembly Larvae Day5 EPI99 with HiSeq and NovaSeq Data on Mox

I previously assembled and annotated P.generosa larval Day 5 transcriptome (20190318 – mislabeled as Juvenile Day 5 in my previous notebook entries) using just our HiSeq data from our Illumina collaboration. This was a an oversight, as I didn’t realize that we also had NovaSeq RNAseq data. So, I’ve initiated another de novo assembly using Trinity incorporating both sets of data.

Ran a de novo assembly on our HiSeq and NovaSeq data from Hollie’s larval Day 5 EPI 99 sample. This was done for Christian to use in some long, non-coding RNA (lncRNA) analysis.

NovaSeq data had been previously trimmed.

Trimming of the HiSeq data was performed via Trinity, using the --trimmomatic option.

SBATCH script (GitHub):

  #!/bin/bash ## Job Name #SBATCH --job-name=trin_epi99 ## Allocation Definition #SBATCH --account=coenv #SBATCH --partition=coenv ## Resources ## Nodes #SBATCH --nodes=1 ## Walltime (days-hours:minutes:seconds format) #SBATCH --time=30-00:00:00 ## Memory per node #SBATCH --mem=120G ##turn on e-mail notification #SBATCH --mail-type=ALL #SBATCH --mail-user=samwhite@uw.edu ## Specify the working directory for this job #SBATCH --workdir=/gscratch/scrubbed/samwhite/outputs/20190409_trinity_pgen_EPI99_RNAseq # Exit script if a command fails set -e # Load Python Mox module for Python module availability module load intel-python3_2017 # Document programs in PATH (primarily for program version ID) date >> system_path.log echo "" >> system_path.log echo "System PATH for $SLURM_JOB_ID" >> system_path.log echo "" >> system_path.log printf "%0.s-" {1..10} >> system_path.log echo ${PATH} | tr : \\n >> system_path.log # User-defined variables reads_dir=/gscratch/scrubbed/samwhite/data/P_generosa/RNAseq/epi_115 threads=28 assembly_stats=assembly_stats.txt # Paths to programs trinity_dir="/gscratch/srlab/programs/Trinity-v2.8.3" samtools="/gscratch/srlab/programs/samtools-1.9/samtools" ## Inititalize arrays R1_array=() R2_array=() # Variables for R1/R2 lists R1_list="" R2_list="" # Create array of fastq R1 files R1_array=(${reads_dir}/*_R1_*.gz) # Create array of fastq R2 files R2_array=(${reads_dir}/*_R2_*.gz) # Create list of fastq files used in analysis ## Uses parameter substitution to strip leading path from filename for fastq in ${reads_dir}/*.gz do echo ${fastq##*/} >> fastq.list.txt done # Create comma-separated lists of FastQ reads R1_list=$(echo ${R1_array[@]} | tr " " ",") R2_list=$(echo ${R2_array[@]} | tr " " ",") # Run Trinity ${trinity_dir}/Trinity \ --trimmomatic \ --seqType fq \ --max_memory 120G \ --CPU ${threads} \ --left \ ${R1_list} \ --right \ ${R2_list} # Assembly stats ${trinity_dir}/util/TrinityStats.pl trinity_out_dir/Trinity.fasta \ > ${assembly_stats} # Create gene map files ${trinity_dir}/util/support_scripts/get_Trinity_gene_to_trans_map.pl \ trinity_out_dir/Trinity.fasta \ > trinity_out_dir/Trinity.fasta.gene_trans_map # Create FastA index ${samtools} faidx \ trinity_out_dir/Trinity.fasta