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mkatari-bioinformatics-august-2013-gatknotes [2014/06/11 13:46] – mkatarimkatari-bioinformatics-august-2013-gatknotes [2015/06/08 07:45] – mkatari
Line 38: Line 38:
 bowtie2 -x PTC_Human -U Cohen.fastq -S Cohen.sam bowtie2 -x PTC_Human -U Cohen.fastq -S Cohen.sam
 samtools view -bS Cohen.sam > Cohen.bam samtools view -bS Cohen.sam > Cohen.bam
-/code>+</code> 
 + 
 +The picard method to sort is preferred by GATK. In some cases PICARD uses the temp directory to do its sorting. You may run into an error that complains about running out of space. To avoid this problem simply create your own tmp directory and tell java that it should use it. See details [[https://www.biostars.org/p/42613/|here]].
  
-The picard method to sort is preferred by GATK 
 <code> <code>
-java -jar /export/apps/picard-tools/1.112/SortSam.jar \+mkdir /var/scratch/mkatari 
 +mkdir /var/scratch/mkatari/tmp 
 + 
 +java -Djava.io.tmpdir=/var/scratch/mkatari/tmp -jar /export/apps/picard-tools/1.112/SortSam.jar \
    INPUT=Cohen.bam \    INPUT=Cohen.bam \
    OUTPUT=Cohen.sorted.bam \    OUTPUT=Cohen.sorted.bam \
Line 54: Line 58:
 <code> <code>
  
-java -jar /export/apps/picard-tools/1.112/AddOrReplaceReadGroups.jar \+java -Djava.io.tmpdir=/var/scratch/mkatari/tmp -jar /export/apps/picard-tools/1.112/AddOrReplaceReadGroups.jar \
    INPUT=Cohen.sorted.bam \    INPUT=Cohen.sorted.bam \
    OUTPUT=CohenRG.bam \    OUTPUT=CohenRG.bam \
Line 65: Line 69:
 This will remove any reads that map to the same exact place. It is helpful to get rid of artifacts.  This will remove any reads that map to the same exact place. It is helpful to get rid of artifacts. 
 <code> <code>
-java -jar /export/apps/picard-tools/1.112/MarkDuplicates.jar \+ 
 +java -Djava.io.tmpdir=/var/scratch/mkatari/tmp -jar /export/apps/picard-tools/1.112/MarkDuplicates.jar \
    INPUT=CohenRG.bam \    INPUT=CohenRG.bam \
    OUTPUT=Cohen.dedup.bam \    OUTPUT=Cohen.dedup.bam \
    METRICS_FILE=Cohen.dedup.metrics \    METRICS_FILE=Cohen.dedup.metrics \
    REMOVE_DUPLICATES=TRUE \    REMOVE_DUPLICATES=TRUE \
-   ASSUME_SORTED=TRUE+   ASSUME_SORTED=TRUE \ 
 +   MAX_FILE_HANDLES_FOR_READ_ENDS_MAP=1000
  
 </code> </code>
Line 79: Line 85:
  
 #identifying indels #identifying indels
-java -Xmx2g -jar /export/apps/GenomeAnalysisTK/GenomeAnalysisTK-2.3-9-ge5ebf34/GenomeAnalysisTK.jar \+java -Xmx2g -Djava.io.tmpdir=/var/scratch/mkatari/tmp -jar /export/apps/GenomeAnalysisTK/GenomeAnalysisTK-2.3-9-ge5ebf34/GenomeAnalysisTK.jar \
    -T RealignerTargetCreator \    -T RealignerTargetCreator \
    -R PTC_Human.fasta \    -R PTC_Human.fasta \
Line 87: Line 93:
  
    
- java -Xmx4g -jar /export/apps/GenomeAnalysisTK/GenomeAnalysisTK-2.3-9-ge5ebf34/GenomeAnalysisTK.jar \+ java -Xmx4g -Djava.io.tmpdir=/var/scratch/mkatari/tmp -jar /export/apps/GenomeAnalysisTK/GenomeAnalysisTK-2.3-9-ge5ebf34/GenomeAnalysisTK.jar \
    -T IndelRealigner \    -T IndelRealigner \
    -R PTC_Human.fasta \    -R PTC_Human.fasta \
Line 96: Line 102:
 </code> </code>
  
-Now we merge the bam files and then sort and index them+In some cases there may be a need to clean the sam/bam file(s) (soft-trimming the coordinates). To do this use CleanSam in Picard tools. You may want to just do it to all to avoid the error in a workflow, but it may not be necessary.
  
 <code> <code>
-java -jar /export/apps/picard-tools/1.112/MergeSamFiles.jar \+java -Djava.io.tmpdir=/var/scratch/mkatari/tmp -jar /export/apps/picard-tools/1.112/CleanSam.jar \
    INPUT=Sherman.dedup.realign.bam \    INPUT=Sherman.dedup.realign.bam \
 +   OUTPUT=Sherman.clean.dedup.realign.bam
 +</code>
 +
 +Now we merge the bam files and then sort and index them. If you cleaned the bam file, remember to use the cleaned ones.
 +
 +<code>
 +java -Djava.io.tmpdir=/var/scratch/mkatari/tmp -jar /export/apps/picard-tools/1.112/MergeSamFiles.jar \
 +   INPUT=Sherman.clean.dedup.realign.bam \
    INPUT=Cohen.dedup.realign.bam \    INPUT=Cohen.dedup.realign.bam \
    OUTPUT=ShermanCohenMerged.bam      OUTPUT=ShermanCohenMerged.bam  
Line 110: Line 124:
  
  
-Finall !! run gatk+Finally !! run gatk
  
 <code> <code>
-java -jar /export/apps/GenomeAnalysisTK/GenomeAnalysisTK-2.3-9-ge5ebf34/GenomeAnalysisTK.jar \+java -Djava.io.tmpdir=/var/scratch/mkatari/tmp -jar /export/apps/GenomeAnalysisTK/GenomeAnalysisTK-2.3-9-ge5ebf34/GenomeAnalysisTK.jar \
    -T UnifiedGenotyper \    -T UnifiedGenotyper \
    -I ShermanCohenMerged.sorted.bam \    -I ShermanCohenMerged.sorted.bam \
Line 121: Line 135:
    -glm SNP \    -glm SNP \
    -o PTC_human.gatk.vcf    -o PTC_human.gatk.vcf
 +
 +</code>
 +
 +If you want to load the vcf file into IGV, remember to index it first.
 +<code>
 +module load igvtools
 +igvtools index PTC_human.gatk.vcf
 +</code>
 +
 +If you would like to generate a table of from the vcf file use the following command
 +<code>
 +java --Djava.io.tmpdir=/var/scratch/mkatari/tmp jar /export/apps/GenomeAnalysisTK/GenomeAnalysisTK-2.3-9-ge5ebf34/GenomeAnalysisTK.jar \
 +     -R PTC_Human.fasta
 +     -T VariantsToTable \
 +     -V PTC_human.gatk.vcf \
 +     -F CHROM -F POS -F ID -F QUAL -F AC \
 +     -GF GT -GF GQ \
 +     -o PTC_human.gatk.vcf.table
 +</code>
 +
 +In order to filter your vcf file based on quality measures, depth, and also statistical significance, you can use variant filter option in the gatk toolkit. Below is an example of suggested filters for data that has low coverage.
 +
 +<code>
 +java -Xmx2g -jar /export/apps/gatk/3.1.1/GenomeAnalysisTK.jar \
 +    -R /home/emasumba/cassavaV5_0.chromsomesRomanNumerals.fa \
 +    -T VariantFiltration \
 +    -o namikonga_albert_filter.vcf \
 +    --variant /home/emasumba/Namikonga_Albert.gatk.vcf \
 +    --filterExpression "QD < 2.0 || MQ < 40.0 || FS > 60.0 || HaplotypeScore >13.0" \
 +    --filterName "mannyfilter"
 +
 +</code>
 +
 +Good descriptions of the different information on vcf files [[https://www.broadinstitute.org/gatk/gatkdocs/org_broadinstitute_gatk_tools_walkers_annotator_HaplotypeScore.php|GATK Docs]]
 +
 +Finally to save the SNPs that passed your filter, you simply use the selectvariant tool.
 +
 +<code>
 +
 +java -Xmx2g -jar /export/apps/gatk/3.1.1/GenomeAnalysisTK.jar \
 +    -T SelectVariants \
 +    --variant namikonga_albert_filter.vcf \
 +    -o namikonga_albert_filter_only.vcf \
 +    -ef \
 +    -R /home/emasumba/cassavaV5_0.chromsomesRomanNumerals.fa
 +
 </code> </code>
mkatari-bioinformatics-august-2013-gatknotes.txt · Last modified: 2016/08/17 08:37 by mkatari