GSE88722 Processing Pipeline
Publication
CRISPR/Cas9-mediated integration enables TAG-eCLIP of endogenously tagged RNA binding proteins.Methods (San Diego, Calif.) (2017) — PMID 28003131
Dataset
GSE88722CRISPR/Cas9-mediated integration enables TAG-eCLIP of endogenously tagged RNA binding proteins
Processing Steps
Generate Jupyter Notebook-
1
Takes output from raw files. Run to trim off both 5p and 3p adapters on both reads.
cutadapt GitHub$ Bash example
# Install cutadapt if not already installed # conda install -c bioconda cutadapt # Define adapter sequences (replace with actual sequences for your library prep) cutadapt quality-cutoff 6 -m 18 -a NNNNNAGATCGGAAGAGCACACGTCTGAACTCCAGTCAC -g CTTCCGATCTACAAGTT -g CTTCCGATCTTGGTCCT -A AACTTGTAGATCGGA -A AGGACCAAGATCGGA -A ACTTGTAGATCGGAA -A GGACCAAGATCGGAA -A CTTGT AGATCGGAAG -A GACCAAGATCGGAAG -A TTGTAGATCGGAAGA -A ACCAAGATCGGAAGA -A TGTAGATCGGAAGAG -A CCAAGATCGGAAGAG -A GTAGATCGGAAGAGC -A CAAGATCGGAAGAGC -A TAGATCGGAAGAGCG -A AAGATCGGAAGAGCG -A AGATCGGAAGAGCGT -A GATCGGAAGAGCGTC -A ATCGGAAGAGCGTCG -A TCGGAAGAGCGTCGT -A CGGAAGAGCGTCGTG -A GGAAGAGCGTCGTGT -o /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.fastq.gz -p /full/path/to/files/file_R2.C01.fastq.gz.adapterTrim.fastq.gz /full/path/to/files/file_R1.C01.fastq.gz /full/path/to/files/file_R2.C01.fastq.gz > /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.metrics
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2
Takes output from cutadapt round 1. Run to trim off the 3p adapters on read 2, to control for double ligation events.
cutadapt GitHub$ Bash example
cutadapt -f fastq --match-read-wildcards --times 1 -e 0.1 -O 5 --quality-cutoff 6 -m 18 -A AACTTGTAGATCGGA -A AGGACCAAGATCGGA -A ACTTGTAGATCGGAA -A GGACCAAGATCGGAA -A CTTGTAGATCGGAAG -A GACCAAGATCGGAAG -A TTGTAGATCGGAAGA -A ACCAAGATCGGAAGA -A TGTAGATCGGAAGAG -A CCAAGATCGGAAGAG -A GTAGATCGGAAGAGC -A CAAGATCGGAAGAGC -A TAGATCGGAAGAGCG -A AAGATCGGAAGAGCG -A AGATCGGAAGAGCGT -A GATCGGAAGAGCGTC -A ATCGGAAGAGCGTCG -A TCGGAAGAGCGTCGT -A CGGAAGAGCGTCGTG -A GGAAGAGCGTCGTGT -o /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.fastq.gz -p /full/path/to/files/file_R2.C01.fastq.gz.adapterTrim.round2.fastq.gz /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.fastq.gz /full/path/to/files/file_R2.C01.fastq.gz.adapterTrim.fastq.gz > /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.metrics
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3
Takes output from cutadapt round 2. Maps to human specific version of RepBase used to remove repetitive elements, helps control for spurious artifacts from rRNA (& other) repetitive reads.
$ Bash example
STAR --runMode alignReads --runThreadN 16 --genomeDir /path/to/RepBase_human_database_file --genomeLoad LoadAndRemove --readFilesIn /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.fastq.gz /full/path/to/files/file_R2.C01.fastq.gz.adapterTrim.round2.fastq.gz --outSAMunmapped Within --outFilterMultimapNmax 30 --outFilterMultimapScoreRange 1 --outFileNamePrefix /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rep.bam --outSAMattributes All --readFilesCommand zcat --outStd BAM_Unsorted --outSAMtype BAM Unsorted --outFilterType BySJout --outReadsUnmapped Fastx --outFilterScoreMin 10 --outSAMattrRGline ID:foo --alignEndsType EndToEnd > /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rep.bam
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4
Takes output from STAR rmRep. Maps unique reads to the human genome.
$ Bash example
STAR --runMode alignReads --runThreadN 16 --genomeDir /path/to/STAR_database_file --genomeLoad LoadAndRemove --readFilesIn /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rep.bamUnmapped.out.mate1 /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rep.bamUnmapped.out.mate2 --outSAMunmapped Within --outFilterMultimapNmax 1 --outFilterMultimapScoreRange 1 --outFileNamePrefix /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.bam --outSAMattributes All --outStd BAM_Unsorted --outSAMtype BAM Unsorted --outFilterType BySJout --outReadsUnmapped Fastx --outFilterScoreMin 10 --outSAMattrRGline ID:foo --alignEndsType EndToEnd > /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.bam
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5
Takes output from STAR genome mapping. Custom random-mer-aware script for PCR duplicate removal.
barcode_collapse_pe.py (inferred by models/gemini-2.5-flash) GitHub$ Bash example
barcode_collapse_pe.py --bam /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.bam --out_file /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.bam --metrics_file /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.metrics
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6
Sorts resulting bam file for use downstream.
samtools (inferred by models/gemini-2.5-flash) GitHub$ Bash example
# Install samtools (if not already installed) # conda install -c bioconda samtools # Sort the BAM file samtools sort -o sorted_reads.bam input_reads.bam
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7
Command: samtools index /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam.bai
samtools$ Bash example
samtools index /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam.bai
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8
Takes inputs from multiple final bam files.
samtools GitHub$ Bash example
samtools merge /full/path/to/files/CombinedID.merged.bam /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam /full/path/to/files/file_R1.D08.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam
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9
Command: samtools index /full/path/to/files/CombinedID.merged.bam /full/path/to/files/CombinedID.merged.bam.bai
samtools GitHub$ Bash example
samtools index /full/path/to/files/CombinedID.merged.bam /full/path/to/files/CombinedID.merged.bam.bai
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10
Only outputs the second read in each pair for use with single stranded peak caller.
samtools GitHub$ Bash example
samtools view -hb -f 128 /full/path/to/files/CombinedID.merged.bam > /full/path/to/files/CombinedID.merged.r2.bam
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11
Calls peaks on those files.
CLIPper GitHub$ Bash example
clipper -b /full/path/to/files/CombinedID.merged.r2.bam -s hg19 -o /full/path/to/files/CombinedID.merged.r2.peaks.bed --bonferroni --superlocal --threshold-method binomial --save-pickle
Tools Used
Raw Source Text
Library strategy: eCLIP-seq Takes output from raw files. Run to trim off both 5â and 3â adapters on both reads. Command: quality-cutoff 6 -m 18 -a NNNNNAGATCGGAAGAGCACACGTCTGAACTCCAGTCAC -g CTTCCGATCTACAAGTT -g CTTCCGATCTTGGTCCT -A AACTTGTAGATCGGA -A AGGACCAAGATCGGA -A ACTTGTAGATCGGAA -A GGACCAAGATCGGAA -A CTTGT AGATCGGAAG -A GACCAAGATCGGAAG -A TTGTAGATCGGAAGA -A ACCAAGATCGGAAGA -A TGTAGATCGGAAGAG -A CCAAGATCGGAAGAG -A GTAGATCGGAAGAGC -A CAAGATCGGAAGAGC -A TAGATCGGAAGAGCG -A AAGATCGGAAGAGCG -A AGATCGGAAGAGCGT -A GATCGGAAGAGCGTC -A ATCGGAAGAGCGTCG -A TCGGAAGAGCGTCGT -A CGGAAGAGCGTCGTG -A GGAAGAGCGTCGTGT -o /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.fastq.gz -p /full/path/to/files/file_R2.C01.fastq.gz.adapterTrim.fastq.gz /full/path/to/files/file_R1.C01.fastq.gz /full/path/to/files/file_R2.C01.fastq.gz > /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.metrics Takes output from cutadapt round 1. Run to trim off the 3â adapters on read 2, to control for double ligation events. Command: cutadapt -f fastq --match-read-wildcards --times 1 -e 0.1 -O 5 --quality-cutoff 6 -m 18 -A AACTTGTAGATCGGA -A AGGACCAAGATCGGA -A ACTTGTAGATCGGAA -A GGACCAAGATCGGAA -A CTTGTAGATCGGAAG -A GACCAAGATCGGAAG -A TTGTAGATCGGAAGA -A ACCAAGATCGGAAGA -A TGTAGATCGGAAGAG -A CCAAGATCGGAAGAG -A GTAGATCGGAAGAGC -A CAAGATCGGAAGAGC -A TAGATCGGAAGAGCG -A AAGATCGGAAGAGCG -A AGATCGGAAGAGCGT -A GATCGGAAGAGCGTC -A ATCGGAAGAGCGTCG -A TCGGAAGAGCGTCGT -A CGGAAGAGCGTCGTG -A GGAAGAGCGTCGTGT -o /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.fastq.gz -p /full/path/to/files/file_R2.C01.fastq.gz.adapterTrim.round2.fastq.gz /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.fastq.gz /full/path/to/files/file_R2.C01.fastq.gz.adapterTrim.fastq.gz > /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.metrics Takes output from cutadapt round 2. Maps to human specific version of RepBase used to remove repetitive elements, helps control for spurious artifacts from rRNA (& other) repetitive reads. Command: STAR --runMode alignReads --runThreadN 16 --genomeDir /path/to/RepBase_human_database_file --genomeLoad LoadAndRemove --readFilesIn /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.fastq.gz /full/path/to/files/file_R2.C01.fastq.gz.adapterTrim.round2.fastq.gz --outSAMunmapped Within --outFilterMultimapNmax 30 --outFilterMultimapScoreRange 1 --outFileNamePrefix /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rep.bam --outSAMattributes All --readFilesCommand zcat --outStd BAM_Unsorted --outSAMtype BAM Unsorted --outFilterType BySJout --outReadsUnmapped Fastx --outFilterScoreMin 10 --outSAMattrRGline ID:foo --alignEndsType EndToEnd > /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rep.bam Takes output from STAR rmRep. Maps unique reads to the human genome. Command: STAR --runMode alignReads --runThreadN 16 --genomeDir /path/to/STAR_database_file --genomeLoad LoadAndRemove --readFilesIn /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rep.bamUnmapped.out.mate1 /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rep.bamUnmapped.out.mate2 --outSAMunmapped Within --outFilterMultimapNmax 1 --outFilterMultimapScoreRange 1 --outFileNamePrefix /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.bam --outSAMattributes All --outStd BAM_Unsorted --outSAMtype BAM Unsorted --outFilterType BySJout --outReadsUnmapped Fastx --outFilterScoreMin 10 --outSAMattrRGline ID:foo --alignEndsType EndToEnd > /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.bam takes output from STAR genome mapping. Custom random-mer-aware script for PCR duplicate removal. Command: barcode_collapse_pe.py --bam /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.bam --out_file /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.bam --metrics_file /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.metrics Takes output from barcode collapse PE. Sorts resulting bam file for use downstream. Command: java -Xmx2048m -XX:+UseParallelOldGC -XX:ParallelGCThreads=4 -XX:GCTimeLimit=50 -XX:GCHeapFreeLimit=10 -Djava.io.tmpdir=/full/path/to/files/.queue/tmp -cp /path/to/gatk/dist/Queue.jar net.sf.picard.sam.SortSam INPUT=/full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.bam TMP_DIR=/full/path/to/files/.queue/tmp OUTPUT=/full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam VALIDATION_STRINGENCY=SILENT SO=coordinate CREATE_INDEX=true Takes output from sortSam, makes bam index for use downstream. Command: samtools index /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam.bai Takes inputs from multiple final bam files. Merges the two technical replicates for further downstream analysis. Command: samtools merge /full/path/to/files/CombinedID.merged.bam /full/path/to/files/file_R1.C01.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam /full/path/to/files/file_R1.D08.fastq.gz.adapterTrim.round2.rmRep.rmDup.sorted.bam Takes output from sortSam, makes bam index for use downstream. Command: samtools index /full/path/to/files/CombinedID.merged.bam /full/path/to/files/CombinedID.merged.bam.bai Takes output from sortSam. Only outputs the second read in each pair for use with single stranded peak caller. This is the final bam file to perform analysis on. Command: samtools view -hb -f 128 /full/path/to/files/CombinedID.merged.bam > /full/path/to/files/CombinedID.merged.r2.bam Takes results from samtools view. Calls peaks on those files. Command: clipper -b /full/path/to/files/CombinedID.merged.r2.bam -s hg19 -o /full/path/to/files/CombinedID.merged.r2.peaks.bed --bonferroni --superlocal --threshold-method binomial --save-pickle Genome_build: hg19 Supplementary_files_format_and_content: bed format, contains clusters of predicted RBP binding; column 4 contains -log10(p-value) and column 5 contains log2(fold-enrichment) in eCLIP versus paired size-matched input Supplementary_files_format_and_content: bw format