Keth-seq是一种研究RNA二级结构的测序方法。它的文库和icSHAPE非常相似,因而我们也可以使用icSHAPE pipeline来分析Keth-seq数据,本文档示例了我们的测试结果。
Collapsing the reads:
readCollapse.pl -U sample.fastq -o sample_rmdup.fq -f sample_collapse.fa
Removing adapters:
trimming.pl -U sample_rmdup.fq -o sample_trimmed.fq -l 13 -t 0 -c phred33 -a adapter.fa -m 0
Mapping:
bowtie --sam-nohead --quiet -p 5 -S --un sample_rmrrna.fq sample_trimmed.fq sample_rmrna.sam
bowtie --quiet -p 5 -S genome sample_rmrrna.fq sample.sam
Calculating RT signals:
calcRT.pl -i sample.sam -o sample.rt -r sample.rpkm -c 5
Combining RT signals:
combineRTreplicates.pl -i sample_rep1.rt:sample_rep2.rt -o sample_combine.rt
Normalized RT signals:
normalizeRTfile.pl -i sample_combine.rt -o sample_normed.rt -m mean:vigintile2 -d 32 -l 32
Calculating reactivity score:
calcEnrich.pl -f sample_case_normed.rt -b sample_control_normed.rt -o sample_enrich.out -w factor5:scaling1 -x 0.25 -y 10
Filtering reactivity score:
filterEnrich.pl -i sample_enrich.out -o sample_enrich_filter.out -t 200 -T 2 -s 5 -e 30
Visualization:
enrich2Bedgraph.pl -i sample.out -o sample.bdg -g gtf -a fasta
sort -k1,1 -k2,3n sample.bdg >sample_sorted.bdg
uniqueTrack.pl sample_sort.bdg sample_uniq.bdg
cut -f1-4 sample_uniq.bdg | grep -v NULL > sample_sim.bdg
bedGraphToBigWig sample_sim.bdg genome.chr.size sample_sim.bw