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@@ -79,14 +79,14 @@ The processing and quantification described here was performed using a publicly
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- MultiQC report generation using MultiQC, extended with an in-house developed plugin [atacseq_report](./workflow/scripts/multiqc_atacseq).
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- Quantification (counts/)
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- Consensus region set generation across all called peaks (consensus_regions.bed).
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- Read count quantification of the consensus regions across samples, yielding a count matrix with dimensions consensus regions X samples (consensus_counts.csv).
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- Read count quantification of the consensus regions across samples, yielding a count matrix with dimensions consensus regions X samples (consensus_regions.bed, consensus_counts.csv).
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- Peak support quantification of the consensus regions across samples, yielding a count matrix with dimensions consensus regions X samples (support_counts.csv).
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- Consensus regions mapped to closest gene TSS according to HOMER (Distance to TSS) within proximal TSS up and downstream distances (TSS_counts.csv).
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- Read count quantification of promoter regions based on provided proximal TSS up and downstream distances (promoter_regions.bed and promoter_counts.csv).
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- Consensus regions mapped to closest gene TSS according to HOMER (Distance to TSS) within proximal TSS up and downstream distances (TSS_regions.bed, TSS_counts.csv, TSS_annotation.csv).
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- Read count quantification of promoter regions based on provided proximal TSS up and downstream distances (promoter_regions.bed, promoter_counts.csv, promoter_annotation.csv).
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-[Pseudoautosomal regions in human](https://www.ensembl.org/info/genome/genebuild/human_PARS.html) chromosome Y are skipped.
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- Aggregation of all sample-wise HOMER known motif enrichment results into one CSV in long-format (HOMER_knownMotifs.csv).
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- Annotation (counts/)
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- Sample annotation file based on MultiQC general stats and provided annotations for downstream analysis (annotation.csv)
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- Sample annotation file based on MultiQC general stats and provided annotations for downstream analysis (sample_annotation.csv).
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- Consensus region set annotation using (consensus_annotation.csv)
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- UROPA with regulatory build and gencode as references
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