--- title: "05-alignment" format: html editor: visual --- # Task 1: tview ## Download alignment data ```{r, engine='bash'} cd ../data curl -O https://gannet.fish.washington.edu/seashell/bu-mox/scrubbed/120321-cvBS/19F_R1_val_1_bismark_bt2_pe.deduplicated.sorted.bam curl -O https://gannet.fish.washington.edu/seashell/bu-mox/scrubbed/120321-cvBS/19F_R1_val_1_bismark_bt2_pe.deduplicated.sorted.bam.bai ``` ```{r, engine='bash'} cd ../data curl -O https://gannet.fish.washington.edu/seashell/bu-mox/data/Cvirg-genome/GCF_002022765.2_C_virginica-3.0_genomic.fa curl -O https://gannet.fish.washington.edu/seashell/bu-mox/data/Cvirg-genome/GCF_002022765.2_C_virginica-3.0_genomic.fa.fai ``` ## Visualize with tview Run this in terminal: ```{r, engine='bash'} /home/shared/samtools-1.12/samtools tview \ ../data/19F_R1_val_1_bismark_bt2_pe.deduplicated.sorted.bam \ ../data/GCF_002022765.2_C_virginica-3.0_genomic.fa ``` ![](tview%20screenshot.png) # Task 2 - Aligning WGS data and visualizing in IGV Downloading the fastq files: ```{r, engine='bash'} cd ../data curl -O https://owl.fish.washington.edu/nightingales/C_gigas/F143n08_R2_001.fastq.gz curl -O https://owl.fish.washington.edu/nightingales/C_gigas/F143n08_R1_001.fastq.gz ``` ```{r, engine='bash'} cd ../data curl -O https://gannet.fish.washington.edu/panopea/Cg-roslin/cgigas_uk_roslin_v1_genomic-mito.fa curl -O https://gannet.fish.washington.edu/panopea/Cg-roslin/cgigas_uk_roslin_v1_genomic-mito.fa.fai curl -O https://gannet.fish.washington.edu/panopea/Cg-roslin/GCF_902806645.1_cgigas_uk_roslin_v1_genomic-mito.gtf ``` ## Alignment We'll use hisat to create a sam file. First we'll call on hisat and make an index file. ```{r, engine='bash'} /home/shared/hisat2-2.2.1/hisat2-build \ -f data/cgigas_uk_roslin_v1_genomic-mito.fa \ output/cgigas_uk_roslin_v1_genomic-mito.index ``` Then we'll bring in an index file, as well as forward/reverse (R1/R2 reads) to make the sam file. ```{r, engine='bash'} /home/shared/hisat2-2.2.1/hisat2 \ -x output/cgigas_uk_roslin_v1_genomic-mito.index \ -p 4 \ -1 data/F143n08_R1_001.fastq.gz \ -2 data/F143n08_R2_001.fastq.gz \ -S output/F143_cgigas.sam ``` ## mpileup This produces "pileup" textual format from an alignment. Each input file produces a separate group of pileup columns in the output. More information is available [here](https://www.htslib.org/doc/samtools-mpileup.html). ```{r, engine='bash'} /home/shared/bcftools-1.14/bcftools mpileup --threads 4 --no-BAQ \ --fasta-ref data/cgigas_uk_roslin_v1_genomic-mito.fa \ output/F143_cgigas.sam > output/F143_mpileup_output.txt ``` This command prints "The input is not sorted (chromosomes out of order)". That sounds OK. ```{r, engine='bash'} tail output/F143_mpileup_output.txt ``` Checking the file tail. ``` NC_047560.1 40552325 . T <*> 0 . DP=2;I16=1,0,0,0,60,3600,0,0,60,3600,0,0,25,625,0,0;QS=1,0;FS=0;MQ0F=0 PL 0,3,60 ``` That looks like where we want to be. We're looking for tab-delimited formats. ```{r, engine='bash'} cat output/F143_mpileup_output.txt \ #concatonate previous mpileup output | /home/shared/bcftools-1.14/bcftools call -mv -Oz \ > output/F143_mpile.vcf.gz # output variation call format ``` Now we use zgrep to search out expressions in the vcf file. ```{r, engine='bash'} zgrep "^##" -v output/F143_mpile.vcf.gz | \ awk 'BEGIN{OFS="\t"} {split($8, a, ";"); print $1,$2,$4,$5,$6,a[1],$9,$10}' | head ``` We get something like `#CHROM POS REF ALT QUAL INFO FORMAT output/F143_cgigas.sam`. ## Visualization I downloaded F143_mpile.vcf.gz to my desktop (small file) and imported it to a desktop version of IGV. Here are some screenshots. We left the reference as the default human (GRCh38/hg38). ![This is the first view, showing all chromosomes.](output/IGV%20all.png) ![Checking out chromosome 1.](output/IGV%20chr%201.png) ![Experimented with some of the controls and view functions. Here we are using the slider to hop around the chromosome and check things out.](output/IGV%20chr1%202.png)