Indexing a Reference sequence and annotation

1. First lets make sure we are where we are supposed to be and that the References directory is available.

    cd /share/workshop/mrnaseq_workshop/$USER/rnaseq_example
    mkdir -p slurmout
   

2. To align our data we will need the genome (fasta) and annotation (gtf) for mouse. There are many places to find them, but we are going to get them from the GENCODE.

   We need to first get the url for the genome and annotation gtf. For RNAseq we want to use the primary genome chromosomes and basic gene annotation. At the time of this workshop the current version of GENCODE is M25 . You will want to update the scripts to use the current version.

   We will need:

   • Genome sequence, primary assembly (GRCm38)
   • Basic gene annotation (CHR)

   

   

3. We are going to use an aligner called ‘STAR’ to align the data. Lets take a look at the help docs for star:

    module load star
    STAR -h
   

   The basic options to generate genome indices using STAR are as follows:

   –runThreadN: number of threads
   –runMode: genomeGenerate mode
   –genomeDir: /path/to/store/genome_indices
   –genomeFastaFiles: /path/to/FASTA_file
   –sjdbGTFfile: /path/to/GTF_file
   –sjdbOverhang: readlength -1

   NOTE: In case of reads of varying length, the ideal value for –sjdbOverhang is max(ReadLength)-1. In most cases, the default value of 100 will work similarly to the ideal value.

4. First we need to index the genome for STAR. Lets pull down a slurm script to index the Ensembl version of the mouse genome.

    wget https://raw.githubusercontent.com/ucdavis-bioinformatics-training/2020-mRNA_Seq_Workshop/master/software_scripts/scripts/star_index.slurm
    less star_index.slurm
   

   #!/bin/bash #SBATCH --job-name=star_index # Job name #SBATCH --nodes=1 #SBATCH --ntasks=8 #SBATCH --time=120 #SBATCH --mem=40000 # Memory pool for all cores (see also --mem-per-cpu) #SBATCH --partition=production #SBATCH --reservation=mrnaseq_workshop #SBATCH --account=mrnaseq_workshop #SBATCH --output=slurmout/star-index_%A.out # File to which STDOUT will be written #SBATCH --error=slurmout/star-index_%A.err # File to which STDERR will be written #SBATCH --mail-type=ALL #SBATCH --mail-user=myemail@email.com start=`date +%s` echo $HOSTNAME outpath="References" mkdir -p ${outpath} cd ${outpath} wget ftp://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_mouse/release_M25/GRCm38.primary_assembly.genome.fa.gz gunzip GRCm38.primary_assembly.genome.fa.gz FASTA="../GRCm38.primary_assembly.genome.fa" wget ftp://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_mouse/release_M25/gencode.vM25.annotation.gtf.gz gunzip gencode.vM25.annotation.gtf.gz GTF="../gencode.vM25.annotation.gtf" mkdir star.overlap100.gencode.M25 cd star.overlap100.gencode.M25 module load star call="STAR --runThreadN 8 \ --runMode genomeGenerate \ --genomeDir . \ --genomeFastaFiles ${FASTA} \ --sjdbGTFfile ${GTF} \ --sjdbOverhang 100" echo $call eval $call end=`date +%s` runtime=$((end-start)) echo $runtime

   When you are done, type “q” to exit.

   1. The script uses wget to download the fasta and GTF files from Gencode using the links you found earlier.
   2. Uncompresses them using gunzip.
   3. Creates the star index directory [star.overlap100.gencode.M25].
   4. Change directory into the new star index directory. We run the star indexing command from inside the directory, for some reason star fails if you try to run it outside this directory.
   5. Run star in mode genomeGenerate.

5. Run star indexing when ready.

    sbatch star_index.slurm
   

   This step will take a couple hours. You can look at the STAR documentation while you wait. All of the output files will be written to the star index directory star.overlap100.gencode.M25.

   IF For the sake of time, or for some reason it didn’t finish, is corrupted, or you missed the session, you can link over a completed copy.

    ln -s /share/biocore/workshops/2020_mRNAseq_July/References/star.overlap100.gencode.M25 /share/workshop/mrnaseq_workshop/$USER/rnaseq_example/References/.