Systematic Removal of ATAC-seq Biases
Corresponding Organization :
Other organizations : Nvidia (United States), Harvard University
Variable analysis
- Per-read bead barcodes were parsed and trimmed using UMI-tools v1.0.0
- Constitutive elements of the bead barcodes were assigned to the closest known sequence allowing for up to 1 mismatch per 6-mer or 7-mer
- Paired-end reads were aligned to hg19 using BWA v0.7.17
- Bead-based ATAC-seq processing (BAP) was used to identify systematic biases and barcode-aware deduplicate reads, as well as perform merging of multiple bead barcode instances associated with the same cell
- Reads aligning to an inordinately large number of barcodes
- Barcode merging necessary due to the nature of the BioRad SureCell scATAC-seq procedure
- Alignment (.bam) file for a given experiment with a bead barcode identifier indicated by a SAM tag
- Aligned reads were combined using samtools merge (v1.9)
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