Various scripts used in the Biotagging project carried out in the laboratory of T. Sauka-Spengler at the Weatherall Institute of Molecular Medicine at the University of Oxford, in the UK.
- bowtie v.1.1.2
- bedtools v.2.15.0
- Kent tools bedGraphToBigWig (downloadable from UCSC genome browser website -here)
- python v.2.7.5
- bowtie v.1.1.2 index for danRer7 zebrafish genome downloadable from here
- chromosome size file : danRer7.sizes
bowtie -S -p 4 -X 2000 -m 2 $GENOME -1 $A1 -2 $A2 --chunkmb 500 $AN\.sam
samtools view -bS $AN\.sam > $AN\.bam
samtools sort $AN\.bam $AN\.sort
genomeCoverageBed -bg -split -ibam $AN\.sort.bam -g $CHROM > $AN\.bg
bedGraphToBigWig $AN\.bg $CHROM $AN\.bw
sam2bwPE_zf.pl -sam $AN\.sam -build danRer10 -name smo_$AN
samtools sort -n $AN\.bam $AN\.nsort
bedtools bamtobed -bedpe -i $AN\.nsort.bam > $AN\.nsort.bam.bed
atac_bedpe_parse2.py $CHROM $AN\.nsort.bam.bed
macs2 callpeak -t $AN\.nsort.bam.pebed -f BED --name macs2_$AN --shiftsize=100 --nomodel --slocal 1000
Original sam2bwPE_PE.pl script was kindly provided by Pr. Jim Hughes (WIMM, University of Oxford). Version presented here has been modified to work with zebrafish genome.
samtools sort -n myFile.bam myFile.nsort
samtools view -h myFile.nsort.bam | python split-strand-rna.py PreFixToOutputFile
This will yield two files : PreFixToOutputFile_+.sam and PreFixToOutputFile_-.sam To visualise these files can be processed with samtools, bedtools genomeCoverageBed and bedGraphToBigWig. Bigwig files can then be uploaded and visualised in UCSC genome browser.
http://userweb.molbiol.ox.ac.uk/public/dariag/biotagging/hub.txt
track type=bigBed name=" Zv9_introns" bigDataUrl=http://userweb.molbiol.ox.ac.uk/public/dariag/biotag_ss/Zv9_introns.bb
For additional information consult github hosted by tsslab/biotagging
Trinh, Le A., Vanessa Chong-Morrison, Daria Gavriouchkina, Tatiana Hochgreb-Hägele, Upeka Senanayake, Scott E. Fraser, and Tatjana Sauka-Spengler. "Biotagging of specific cell populations in zebrafish reveals gene regulatory logic encoded in the nuclear transcriptome." Cell reports 19, no. 2 (2017): 425-440. doi:10.1016/j.celrep.2017.03.045