first commit

README.md

+# 原始数据和比对数据的质量控制
+
+> Author：Ren Luyao
+>
+> Git: http://choppy.3steps.cn/renluyao/RNAseq_QC.git
+>
+> Email: 18110700050@fudan.edu.cn
+>
+> Date: 2020/02/09
+
+# APP概述
+
+本APP包含了原始数据质量控制软件FastQC和FastqScreen和比对质量控制软件Qualimap，以及对多样本数据结果整合的multiqc。
+
+# APP输入
+
+本APP只有一个输入即inputSamplesFile，包含了需要计算样本的fastq read1，bam和bam的index。
+
+这个文件是一个txt，tab分隔，第一列是read1的阿里云地址，第二列是bam，第三列是bam index。每一行是一个样本。可查看模版inputSamplesFileExamples.tsv，**注意：#read1	#bam	#bai这一行要删掉**。
+
+```bash
+#read1	#bam	#bai
+```
+
+将准备好的inputSamplesFile文件上传至阿里云。
+
+choppy samples文件中就填inputSamplesFile在阿里云上的地址。
+
+```bash
+# 1. 启动choppy
+source activate choppy
+# 2. 安装APP
+choppy install renluyao/RNAseq_QC
+# 3. 获得choppy samples的csv文件
+choppy samples RNAseq_QC-latest --output RNAseq_qc_samples
+# 4. 编辑samples文件
+# samples_id,inputSamplesFile
+# samples_id是choppy对workflow的编号，写阿拉伯数字就行
+# 即
+# 1,inputSamplesFile的阿里云地址
+# 5. 提交任务
+choppy batch RNAseq_QC-latest --project-name <project_name>
+# 6. 查询任务
+choppy query -s <workflow_id>
+choppy query -s <workflow_id> -m
+```
+
+
+
+# APP输出结果
+
+所有的结果都会整合进multiqc。从阿里云上下载multiqc模块的输出
+
+1. **multiqc.html**
+2. **glob_一大串数字的文件夹**
+
+下载上述文件，将**glob_一大串数字的文件夹**名称改成**multiqc**，双击multiqc.html在浏览器中打开就能查看结果了。
+
+如果需要各模块详细的结果，可下载对应结果。

fastq_screen.conf

+# This is an example configuration file for FastQ Screen
+
+############################
+## Bowtie, Bowtie 2 or BWA #
+############################
+## If the Bowtie, Bowtie 2 or BWA binary is not in your PATH, you can set 
+## this value to tell the program where to find your chosen aligner.  Uncomment 
+## the relevant line below and set the appropriate location.  Please note, 
+## this path should INCLUDE the executable filename.
+
+#BOWTIE	/usr/local/bin/bowtie/bowtie
+#BOWTIE2 /usr/local/bowtie2/bowtie2
+#BWA /usr/local/bwa/bwa
+
+
+
+############################################
+## Bismark (for bisulfite sequencing only) #
+############################################
+## If the Bismark binary is not in your PATH then you can set this value to 
+## tell the program where to find it.  Uncomment the line below and set the 
+## appropriate location. Please note, this path should INCLUDE the executable 
+## filename.
+
+#BISMARK	/usr/local/bin/bismark/bismark
+
+
+
+############
+## Threads #
+############
+## Genome aligners can be made to run across multiple CPU cores to speed up 
+## searches.  Set this value to the number of cores you want for mapping reads.
+
+THREADS		32
+
+
+
+##############
+## DATABASES #
+##############
+## This section enables you to configure multiple genomes databases (aligner index 
+## files) to search against in your screen.  For each genome you need to provide a 
+## database name (which can't contain spaces) and the location of the aligner index 
+## files.
+##
+## The path to the index files SHOULD INCLUDE THE BASENAME of the index, e.g:
+## /data/public/Genomes/Human_Bowtie/GRCh37/Homo_sapiens.GRCh37
+## Thus, the index files (Homo_sapiens.GRCh37.1.bt2, Homo_sapiens.GRCh37.2.bt2, etc.) 
+## are found in a folder named 'GRCh37'.
+##
+## If, for example, the Bowtie, Bowtie2 and BWA indices of a given genome reside in 
+## the SAME FOLDER, a SINLGE path may be provided to ALL the of indices.  The index 
+## used will be the one compatible with the chosen aligner (as specified using the 
+## --aligner flag).  
+##
+## The entries shown below are only suggested examples, you can add as many DATABASE 
+## sections as required, and you can comment out or remove as many of the existing 
+## entries as desired.  We suggest including genomes and sequences that may be sources 
+## of contamination either because they where run on your sequencer previously, or may 
+## have contaminated your sample during the library preparation step.
+##
+## Human - sequences available from
+## ftp://ftp.ensembl.org/pub/current/fasta/homo_sapiens/dna/
+#DATABASE	Human	/data/public/Genomes/Human_Bowtie/GRCh37/Homo_sapiens.GRCh37
+##
+## Mouse - sequence available from
+## ftp://ftp.ensembl.org/pub/current/fasta/mus_musculus/dna/
+#DATABASE	Mouse	/data/public/Genomes/Mouse/NCBIM37/Mus_musculus.NCBIM37
+##
+## Ecoli- sequence available from EMBL accession U00096.2
+#DATABASE	Ecoli	/data/public/Genomes/Ecoli/Ecoli
+##
+## PhiX - sequence available from Refseq accession NC_001422.1
+#DATABASE	PhiX	/data/public/Genomes/PhiX/phi_plus_SNPs
+##
+## Adapters - sequence derived from the FastQC contaminats file found at: www.bioinformatics.babraham.ac.uk/projects/fastqc
+#DATABASE	Adapters	/data/public/Genomes/Contaminants/Contaminants
+##
+## Vector - Sequence taken from the UniVec database
+## http://www.ncbi.nlm.nih.gov/VecScreen/UniVec.html
+#DATABASE	Vectors		/data/public/Genomes/Vectors/Vectors
+
+DATABASE	Human	/cromwell_root/tmp/fastq_screen_reference/genome
+DATABASE	Mouse	/cromwell_root/tmp/fastq_screen_reference/mouse
+DATABASE	ERCC	/cromwell_root/tmp/fastq_screen_reference/ERCC
+DATABASE	EColi	/cromwell_root/tmp/fastq_screen_reference/ecoli
+DATABASE	Adapter	/cromwell_root/tmp/fastq_screen_reference/adapters
+DATABASE	Vector	/cromwell_root/tmp/fastq_screen_reference/vector
+DATABASE	rRNA	/cromwell_root/tmp/fastq_screen_reference/rRNARef
+DATABASE	Virus	/cromwell_root/tmp/fastq_screen_reference/viral
+DATABASE	Yeast	/cromwell_root/tmp/fastq_screen_reference/GCF_000146045.2_R64_genomic_modify
+DATABASE	Mitoch	/cromwell_root/tmp/fastq_screen_reference/Human_mitoch
+DATABASE	Phix	/cromwell_root/tmp/fastq_screen_reference/phix

inputSamplesFileExamples.tsv

+oss://chinese-quartet/quartet-test-data/WEGENE_T7/Quartet_DNA_BGI_T7_WGE_LCL5_1_20191105_R1.fastq.gz	oss://chinese-quartet/quartet-test-data/WEGENE_T7/Quartet_DNA_BGI_T7_WGE_LCL5_1_20191105_R2.fastq.gz	oss://pgx-result/renluyao/quality_control/20191223_wegeneT7_sentieon/0214dda2-9408-4bc2-9e7e-322e18d488ad/call-Dedup/Quartet_DNA_BGI_T7_WGE_LCL8_1_20191105.sorted.deduped.bam	oss://pgx-result/renluyao/quality_control/20191223_wegeneT7_sentieon/0214dda2-9408-4bc2-9e7e-322e18d488ad/call-Dedup/Quartet_DNA_BGI_T7_WGE_LCL8_1_20191105.sorted.deduped.bam.bai

inputs

+{
+  "{{ project_name }}.qualimap.docker": "registry.cn-shanghai.aliyuncs.com/pgx-docker-registry/qualimap:2.0.0",
+  "{{ project_name }}.qualimap.cluster_config": "OnDemand bcs.a2.7xlarge img-ubuntu-vpc",
+  "{{ project_name }}.fasta": "GRCh38.d1.vd1.fa",
+  "{{ project_name }}.fastqc.disk_size": "150",
+  "{{ project_name }}.fastqscreen.cluster_config": "OnDemand bcs.b2.3xlarge img-ubuntu-vpc",
+  "{{ project_name }}.fastqc.cluster_config": "OnDemand bcs.b2.3xlarge img-ubuntu-vpc",
+  "{{ project_name }}.fastqc.docker": "registry.cn-shanghai.aliyuncs.com/pgx-docker-registry/fastqc:v0.11.5",
+  "{{ project_name }}.inputSamplesFile": "{{ inputSamplesFile }}",
+  "{{ project_name }}.fastqscreen.docker": "registry.cn-shanghai.aliyuncs.com/pgx-docker-registry/fastqscreen:0.12.0",
+  "{{ project_name }}.screen_ref_dir": "oss://pgx-reference-data/fastq_screen_reference/",
+  "{{ project_name }}.fastq_screen_conf": "oss://pgx-reference-data/fastq_screen_reference/fastq_screen.conf",
+  "{{ project_name }}.multiqc.cluster_config": "OnDemand bcs.b2.3xlarge img-ubuntu-vpc",
+  "{{ project_name }}.qualimap.disk_size": "500",
+  "{{ project_name }}.multiqc.docker": "registry-vpc.cn-shanghai.aliyuncs.com/pgx-docker-registry/multiqc:v1.8",
+  "{{ project_name }}.fastqscreen.disk_size": "100",
+  "{{ project_name }}.multiqc.disk_size": "100",
+  "{{ project_name }}.ref_dir": "oss://chinese-quartet/quartet-storage-data/reference_data/"
+}

tasks/fastqc.wdl

+task fastqc {
+	File read1
+	String docker
+	String cluster_config
+	String disk_size
+
+	command <<<
+		set -o pipefail
+		set -e
+		nt=$(nproc)
+		fastqc -t $nt -o ./ ${read1}
+	>>>
+
+	runtime {
+		docker:docker
+    	cluster: cluster_config
+    	systemDisk: "cloud_ssd 40"
+    	dataDisk: "cloud_ssd " + disk_size + " /cromwell_root/"
+	}
+	output {
+		File read1_html = sub(basename(read1), "\\.(fastq|fq)\\.gz$", "_fastqc.html")
+		File read1_zip = sub(basename(read1), "\\.(fastq|fq)\\.gz$", "_fastqc.zip")
+	}
+}

tasks/fastqscreen.wdl

+task fastq_screen {
+	File read1
+	File read2
+	File screen_ref_dir
+	File fastq_screen_conf
+	String read1name = basename(read1,".fastq.gz")
+	String read2name = basename(read2,".fastq.gz")
+	String docker
+	String cluster_config
+	String disk_size
+
+	command <<<
+		set -o pipefail
+		set -e
+		nt=$(nproc)
+		mkdir -p /cromwell_root/tmp
+		cp -r ${screen_ref_dir} /cromwell_root/tmp/
+		fastq_screen --aligner bowtie2 --conf ${fastq_screen_conf} --top 100000 --threads $nt ${read1}
+		fastq_screen --aligner bowtie2 --conf ${fastq_screen_conf} --top 100000 --threads $nt ${read2}
+	>>>
+
+	runtime {
+		docker:docker
+    	cluster: cluster_config
+    	systemDisk: "cloud_ssd 40"
+    	dataDisk: "cloud_ssd " + disk_size + " /cromwell_root/"
+	}
+	output {
+		File png1 = "${read1name}_screen.png"
+		File txt1 = "${read1name}_screen.txt"
+		File html1 = "${read1name}_screen.html"
+		File png2 = "${read2name}_screen.png"
+		File txt2 = "${read2name}_screen.txt"
+		File html2 = "${read2name}_screen.html"
+	}
+}

tasks/multiqc.wdl

+task multiqc {
+
+	Array[File] read1_zip
+
+	Array[File] txt1
+
+	Array[File] zip
+
+	String docker
+	String cluster_config
+	String disk_size
+
+	command <<<
+		set -o pipefail
+		set -e
+		mkdir -p /cromwell_root/tmp/fastqc
+		mkdir -p /cromwell_root/tmp/fastqscreen
+		mkdir -p /cromwell_root/tmp/bamqc
+
+		cp ${sep=" " read1_zip} /cromwell_root/tmp/fastqc
+		cp ${sep=" " txt1} /cromwell_root/tmp/fastqscreen
+		for i in ${sep=" " zip}
+		do
+		  tar -zxvf $i -C /cromwell_root/tmp/bamqc
+		done
+
+		multiqc /cromwell_root/tmp/
+	
+	>>>
+
+	runtime {
+		docker:docker
+		cluster:cluster_config
+		systemDisk:"cloud_ssd 40"
+		dataDisk:"cloud_ssd " + disk_size + " /cromwell_root/"
+	}
+
+	output {
+		File multiqc_html = "multiqc_report.html"
+		Array[File] multiqc_txt = glob("multiqc_data/*")
+	}
+}

tasks/qualimap.wdl

+task qualimap {
+	File bam
+	File bai
+	String bamname = basename(bam,".bam")
+	String docker
+	String cluster_config
+	String disk_size
+
+	command <<<
+		set -o pipefail
+		set -e
+		nt=$(nproc)
+		/opt/qualimap/qualimap bamqc -bam ${bam} -outformat PDF:HTML -nt $nt -outdir ${bamname} --java-mem-size=32G 
+		tar -zcvf ${bamname}_qualimap.zip ${bamname}
+	>>>
+
+	runtime {
+		docker:docker
+		cluster:cluster_config
+		systemDisk:"cloud_ssd 40"
+		dataDisk:"cloud_ssd " + disk_size + " /cromwell_root/"
+	}
+
+	output {
+		File zip = "${bamname}_qualimap.zip"
+	}
+}

workflow.wdl

+import "./tasks/fastqc.wdl" as fastqc
+import "./tasks/fastqscreen.wdl" as fastqscreen
+import "./tasks/qualimap.wdl" as qualimap
+import "./tasks/multiqc.wdl" as multiqc
+
+workflow {{ project_name }} {
+
+	File inputSamplesFile
+	Array[Array[File]] inputSamples = read_tsv(inputSamplesFile)
+	File screen_ref_dir
+	File fastq_screen_conf
+	File ref_dir
+	String fasta
+
+	scatter (sample in inputSamples) {
+		call fastqc.fastqc as fastqc {
+			input:
+			read1=sample[0]
+		}
+
+		call fastqscreen.fastq_screen as fastqscreen {
+			input:
+			read1=sample[0],
+			screen_ref_dir=screen_ref_dir,
+			fastq_screen_conf=fastq_screen_conf
+		}
+
+		call qualimap.qualimap as qualimap {
+			input:
+			bam=sample[1],
+			bai=sample[2]
+		}
+
+	}
+
+	call multiqc.multiqc as multiqc {
+		input:
+		read1_zip=fastqc.read1_zip,
+		txt1=fastqscreen.txt1,
+		zip=qualimap.zip
+	}
+
+}
+