Steven asked that I assemble an unfiltered (i.e. no taxonomic selection) transcriptome with all of our C.bairdi RNAseq data (see the FastQ list file linked in the Results section below). A de novo assembly was run using Trinity on Mox. It should be noted that this assembly is a mixture of stranded/non-stranded library preps.
SBATCH Script (GitHub):
#!/bin/bash
## Job Name
#SBATCH --job-name=trinity_cbai
## Allocation Definition
#SBATCH --account=srlab
#SBATCH --partition=srlab
## Resources
## Nodes
#SBATCH --nodes=1
## Walltime (days-hours:minutes:seconds format)
#SBATCH --time=9-00:00:00
## Memory per node
#SBATCH --mem=500G
##turn on e-mail notification
#SBATCH --mail-type=ALL
#SBATCH --mail-user=samwhite@uw.edu
## Specify the working directory for this job
#SBATCH --chdir=/gscratch/scrubbed/samwhite/outputs/20200502_cbai_trinity_all_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
echo ""
echo "System PATH for $SLURM_JOB_ID"
echo ""
printf "%0.s-" {1..10}
echo "${PATH}" | tr : \\n
} >> system_path.log
# User-defined variables
reads_dir=/gscratch/srlab/sam/data/C_bairdi/RNAseq
transcriptome_dir=/gscratch/srlab/sam/data/C_bairdi/transcriptomes
threads=28
assembly_stats=assembly_stats.txt
timestamp=$(date +%Y%m%d)
fasta_name="${timestamp}.C_bairdi.Trinity.fasta"
# Paths to programs
trinity_dir="/gscratch/srlab/programs/trinityrnaseq-v2.9.0"
samtools="/gscratch/srlab/programs/samtools-1.10/samtools"
## Inititalize arrays
R1_array=()
R2_array=()
# Variables for R1/R2 lists
R1_list=""
R2_list=""
# Create array of fastq R1 files
R1_array=("${reads_dir}"/*_R1*fastp-trim*.fq.gz)
# Create array of fastq R2 files
R2_array=("${reads_dir}"/*_R2*fastp-trim*.fq.gz)
# Create list of fastq files used in analysis
## Uses parameter substitution to strip leading path from filename
for fastq in "${reads_dir}"/*fastp-trim*.fq.gz
do
echo "${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
## Not running as "stranded", due to mix of library types
${trinity_dir}/Trinity \
--seqType fq \
--max_memory 500G \
--CPU ${threads} \
--left "${R1_list}" \
--right "${R2_list}"
# Rename generic assembly FastA
mv trinity_out_dir/Trinity.fasta trinity_out_dir/"${fasta_name}"
# Assembly stats
${trinity_dir}/util/TrinityStats.pl trinity_out_dir/"${fasta_name}" \
> ${assembly_stats}
# Create gene map files
${trinity_dir}/util/support_scripts/get_Trinity_gene_to_trans_map.pl \
trinity_out_dir/"${fasta_name}" \
> trinity_out_dir/"${fasta_name}".gene_trans_map
# Create sequence lengths file (used for differential gene expression)
${trinity_dir}/util/misc/fasta_seq_length.pl \
trinity_out_dir/"${fasta_name}" \
> trinity_out_dir/"${fasta_name}".seq_lens
# Create FastA index
${samtools} faidx \
trinity_out_dir/"${fasta_name}"
# Copy files to transcriptome directory
rsync -av \
trinity_out_dir/"${fasta_name}"* \
${transcriptome_dir}
RESULTS
There were some hiccups (Mox crashes, weird Trinity error that interrupted job), but overall, it took ~4 days of actual run time.
Output folder:
FastQ list (text):
FastA (904MB):
20200502_cbai_trinity_all_RNAseq/trinity_out_dir/20200507.C_bairdi.Trinity.fasta
FastA MD5 checksum:
01adbd54298495c147767b19ee5c0de9
FastA Index (text):
NOTE: The transcriptome will be referred to as cbai_transcriptome_v2.0.fasta
and has been added to our Genomic Resources wiki.
Trinity gene trans map (text; useful for downstream gene expression/annotation with Trinity/Trinotate):
Trinity FastA sequence lengths file (text; useful for downstream gene expression/annotation with Trinity/Trinotate):
Assemby stats (text):
################################
## Counts of transcripts, etc.
################################
Total trinity 'genes': 783006
Total trinity transcripts: 1412254
Percent GC: 45.41
########################################
Stats based on ALL transcript contigs:
########################################
Contig N10: 3733
Contig N20: 2571
Contig N30: 1863
Contig N40: 1285
Contig N50: 811
Median contig length: 325
Average contig: 579.92
Total assembled bases: 819000346
#####################################################
## Stats based on ONLY LONGEST ISOFORM per 'GENE':
#####################################################
Contig N10: 3093
Contig N20: 1768
Contig N30: 933
Contig N40: 576
Contig N50: 431
Median contig length: 285
Average contig: 434.16
Total assembled bases: 339947966