Name | Modified | Size | Downloads / Week |
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seqz.tmp | 2021-01-12 | 1.0 kB | |
seqz.sh | 2021-01-12 | 9.9 kB | |
README | 2021-01-12 | 1.8 kB | |
cnv_annotate.sh | 2019-02-03 | 558 Bytes | |
Totals: 4 Items | 13.3 kB | 0 |
# seqz.sh # Author: Chin-Chen Pan # Directore, General and Surgical Pathology # Professor, attending pathologist # Department of Pathology and Laboratory Medicine # Taipei Veterans General Hospital # Version 3.2.1 # Date: Jan 11, 2021 [Introduction] seqz.sh is a shell script to run sequenza for exome-seq. The shell uses the files produced by exome_test.sh. [Before running] 1. Install sequenza. git clone https://bitbucket.org/sequenza_tools/sequenza-utils cd sequenza-utils sudo python setup.py install 2. Install R program. sudo R source("https://bioconductor.org/biocLite.R") biocLite("copynumber") install.packages("sequenza") 3. Copy seqz.tmp to /path/to/programs. Do not change the content of the file. It is used as a template for Rscript. 4. Create hg19.gc50Base.txt.gz to /path/to/programs. sequenza-utils.py GC-windows -w 50 /path/to/programs/hg19/hg19.fa | gzip > /path/to/programs/hg19.gc50Base.txt.gz 5. The shell script will invoke R. Call it with sudo command. 6. Download cnv_annotate.sh. Copy it to /path/to/programs. 7. cytoband_loc files can be created by followings: http://hgdownload.cse.ucsc.edu/goldenPath/hg19/database/cytoBand.txt.gz zcat cytoBand.txt.gz | cut -f1,2,3,4 | sort -t "`echo -e "\t"`" -k1,1 -k2,2n -u | awk -F '\t' '{print $2 "\t" $3 "\t" $4 >>"cytoband_loc_" $1}' copy the files to /path/to/programs/cytoband_loc [RUNNING] Syntax: sudo sh seqz.sh sample_name mate_name output_directory -options options: chrN: The chromosome number whose average Log2Ratio the baseline is adjusted to -kt: keep temporary files -s: shut down after finished ex: sudo sh cnvkit.sh test normal cnv_output 3 -kt -s echo 'password' | sudo -S sh seqz.sh test normal seqz_output chr3