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running time

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LUYAO REN 6 anni fa
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@@ -103,6 +103,26 @@ Hard filtration is applied, for GATK do not yet have the RNAseq training/truth r
# GATK3, if you are using gatk4, please pay attention to the new arguments
java -jar GenomeAnalysisTK.jar -T VariantFiltration -R hg_19.fasta -V input.vcf -window 35 -cluster 3 -filterName FS -filter "FS > 30.0" -filterName QD -filter "QD < 2.0" -o output.vcf
```
**one sample running time**

Less than 4 hours

Settings:

- Disksize 500
- Cluster OnDemand ecs.sn1ne.8xlarge img-ubuntu-vpc

| Module | Time |
| :------------: | :-----: |
| Mapping | 1h20min |
| SamToBam | 1h |
| indexBam | 5min |
| Dedup | 13min |
| SplitReads | 6min |
| BQSR | 21min |
| Haplotyper | 15min |
| Hardfiltration | 3min |

**Reference**

1. GATK best practice https://software.broadinstitute.org/gatk/documentation/article.php?id=3891
@@ -110,4 +130,5 @@ java -jar GenomeAnalysisTK.jar -T VariantFiltration -R hg_19.fasta -V input.vcf
3. STAR github https://github.com/alexdobin/STAR
4. Picard github https://github.com/broadinstitute/picard
5. Picard manual https://broadinstitute.github.io/picard/
6. samtools manual http://www.htslib.org/doc/samtools.html
6. samtools manual http://www.htslib.org/doc/samtools.html


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