HCT116_r4: A 4 column sparse matrix for a Hi-C matrix.
In dozmorovlab/multiHiCcompare: Normalize and detect differences between Hi-C datasets when replicates of each experimental condition are available
HCT116_r4 R Documentation
A 4 column sparse matrix for a Hi-C matrix.
Description
A matrix object with 4 columns and 54307 rows.
Sample 4 of 7 included as example Hi-C data.
This is replicate 4 of HCT-116 cell
line at 100KB resolution from chHCT116_r22.
Usage
HCT116_r4
Format
An object of class data.frame with 54307 rows and 4 columns.
Value
A matrix
Source
Data from Rao 2017. See their website at
http://www.aidenlab.org/
Or the the GEO link to download the data
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE104888
dozmorovlab/multiHiCcompare documentation built on April 23, 2022, 9:56 a.m.
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| HCT116_r4 | R Documentation |
A 4 column sparse matrix for a Hi-C matrix.
Description
A matrix object with 4 columns and 54307 rows. Sample 4 of 7 included as example Hi-C data. This is replicate 4 of HCT-116 cell line at 100KB resolution from chHCT116_r22.
Usage
HCT116_r4
Format
An object of class data.frame with 54307 rows and 4 columns.
Value
A matrix
Source
Data from Rao 2017. See their website at http://www.aidenlab.org/ Or the the GEO link to download the data https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE104888
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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