Infer and visualize copy number from high-throughput DNA sequencing data.
選択できるのは25トピックまでです。 トピックは、先頭が英数字で、英数字とダッシュ('-')を使用した35文字以内のものにしてください。
YaqingLiu eece15f9b1 add annotate and faidx 4年前
assest first commit 4年前
tasks add annotate and faidx 4年前
README.md README 4年前
defaults add annotate and faidx 4年前
inputs add annotate and faidx 4年前
workflow.wdl add annotate and faidx 4年前

README.md

CNVkit

Author: Yaqing Liu

E-mail: yaqing.liu@outlook.com

CNVkit is a Python library and command-line software toolkit to infer and visualize copy number from high-throughput DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina and Ion Torrent.

Official document: https://cnvkit.readthedocs.io/en/stable/index.html

Install

# activate choppy environment
open-choppy-env
# install app
choppy install YaqingLiu/CNVkit

Copy number calling pipeline

image

Input

{
	"tumor_bam": [
          "oss://choppy-cromwell-result/...bam",
          "oss://choppy-cromwell-result/...bam",
          "oss://choppy-cromwell-result/...bam"
	],
	"tumor_bai": [
          "oss://choppy-cromwell-result/...bai",
          "oss://choppy-cromwell-result/...bai",
          "oss://choppy-cromwell-result/...bai"
	],
	"normal_bam": [
          "oss://choppy-cromwell-result/...bam",
          "oss://choppy-cromwell-result/...bam",
          "oss://choppy-cromwell-result/...bam"
	],
	"normal_bai": [
          "oss://choppy-cromwell-result/...bai",
          "oss://choppy-cromwell-result/...bai",
          "oss://choppy-cromwell-result/...bai"
    ],
	"sample_id": "..."
}

Output

A segment file and some intermediate *.cnn/cns will be generated, and the segment file can be imported into IGV.