Tools to normalize (several) Hi-C data from replicates.
The DESCRIPTION file:
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The package implements the bnbc method for normalizing Hi-C data across
samples. The name is short for band-wise normalization and batch
correction. The main workhorse is the
bnbc function. We recommend
using smoothing and library size normalization first.
The package implements the
ContactGroup class for storing
multiple Hi-C contact matrices. This is most naturally done with one
object per chromosome, which is ugly.
We also have functions for applying over a
cgApply) and working with matrix bands
Kipper Fletez-Brant [cre, aut], Kasper Daniel Hansen [aut]
Maintainer: Kipper Fletez-Brant <[email protected]>
Fletez-Brant et al. Distance-dependent between-sample normalization for Hi-C experiments. In preparation.
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