Published May 8, 2020 | Version v1.0

Raw read counts and phased SNP counts for every single cell in the sequencing datasets of the breast cancer patient S0 from "Characterizing allele- and haplotype-specific copy numbers in single cells with CHISEL"

  • 1. Princeton University

Contributors

Contact person:

  • 1. Princeton University

Description

This dataset contains the raw read counts and phased SNP counts for every single cell in the sequencing datasets of breast cancer patient S0 from “Characterizing allele- and haplotype-specific copy numbers in single cells with CHISEL” [Zaccaria & Raphael, 2020]. These data enable the full reproduction of all the results in the related manuscript for breast cancer patient S0. Specifically, the data are provided in two files for every dataset DAT of patient S0 with the following format:

  1. DAT.raw_read_counts.bed.gz is a multi-cell BED file containing the raw read counts in the following fields:
    • CHROMOSOME: the name of a human chromosome
    • START: the starting genomic position of a genomic bin in the chromosome
    • END: the ending genomic position of the genomic bin in the chromosome
    • CELL: the cell barcode that uniquely identifies a cell
    • NORMAL: the raw read count for the specified bin from a matched-normal sample
    • COUNT: the raw read count for the specified bin in the specified cell
    • RDR: the estimated read-depth ratio for the specified bin in the specified cell
  2. DAT.phased_snps_counts.pos.gz is a multi-cell POS file containing the phased SNP counts in the following fields:
    • CHROMOSOME: the name of a human chromosome
    • POS: the genomic position in the chromosome of a germline SNP
    • CELL: the cell barcode that uniquely identifies a cell
    • COUNT_HAPLOTYPE_A: the count of reads that cover the SNP and that belong to haplotype A in the specified cell
    • COUNT_HAPLOTYPE_B: the count of reads that cover the SNP and that belong to haplotype B in the specified cell

All the files have been compressed using standard gzip.

Files

Files (2.7 GB)

Name Size
md5:147e8edf0f2da536ee15c45edf60cb58
484.5 MB Download
md5:3c2ad21d45a5d85c1f7b36aa2e88ebe6
20.3 MB Download
md5:82a550020a4cbd1745d39691ebd61b14
570.6 MB Download
md5:f9508281a385c805bb7a9956e516f6ff
21.0 MB Download
md5:e002ea585f1dda10b92c3d51f663fc11
510.4 MB Download
md5:7a22f865d46741a8488b31832b045a44
16.6 MB Download
md5:2f1faf2ddf0facbf98a3c78b3afc723f
471.6 MB Download
md5:db4582faf1d80fca5bad24c82a101bda
18.2 MB Download
md5:0c4c25dfccc2307d67838495d70ac96a
613.5 MB Download
md5:a8732395b750ced810e1fc534a022b12
19.4 MB Download

Additional details

Related works

Is supplemented by
Preprint: 10.1101/837195 (DOI)