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- ### Variant Calling
- This APP developed for germline and somatic short variant discovery (SNVs + Indels).
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- **Supported Callers**
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- * All callers are <u>**not activated by default**</u>, which means the default setting is `false`.
- * You need to manually set the caller to `true` in the submitted sample.csv.
- * The fields corresponding to these callers include `haplotyper`, `tnseq`, `tnscope`, `varscan`.
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- <u>***Germline***</u>
- * Haplotyper
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- <u>***Somatic***</u>
- * TNseq (TNhaplotyper2)
- * TNscope
- * VarScan
- * TNhaplotyper (This caller is only available in `v0.1.0` as it is too outdated)
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- **Accepted Data**
- * TN matched WES for somatic variant calling
- * TN matched WGS for somatic variant calling
- * Normal-only WES for germline variant calling
- * Normal-only WGS for germline variant calling
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- The datatype is judged by whether the bed file is set (i.e. the `regions` in inputs).
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- ### New Releases
- * The TNhaplotyper, named as TNseq in `v0.1.0`, has beed substituted by TNhaplotyper2.
- * The `corealigner` step has been removed.
- * The `vcf2maf` step has been removed. Thus, the final output is the annotated `VCF`.
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- ### Getting Started
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- We recommend using choppy system and Aliyun OSS service. The command will look like this:
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- ```
- # Activate the choppy environment
- $ open-choppy-env
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- # Install the APP
- $ choppy install YaqingLiu/variant-calling-latest [-f]
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- # List the parameters
- $ choppy samples YaqingLiu/variant-calling-latest [--no-default]
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- # Submit you task with the `samples.csv file` and `project name`
- $ choppy batch YaqingLiu/variant-calling-latest samples.csv -p Project [-l project:Label]
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- # Query the status of all tasks in the project
- $ choppy query -L Label | grep "status"
- ```
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- **Please note:** The `defaults` can be forcibly replaced by the settings in `samples.csv`. Therefore, there is no need to contact me over this issue.
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- The parameters that must need contains: sample_id,normal_fastq_1,normal_fastq_2,tumor_fastq_1,tumor_fastq_2
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- **Please carefully check**
- * the reference genome you want to use is hg38.
- * bed file.
- * the caller you want to use.
- * PoN VCFs for TNseq and TNscope is supported, but are need to be generated in advance.
- * interval padding is default 0, and you can change it.
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