blueberryΒΆ
blueberry implements efficient data structures for the storage, analysis, and exploration of Hi-C datasets. Currently it supports data types for the storage of raw Hi-C datasets, performing KR matrix-balancing, observed/expected normalization, calculation of correlation matrices, and calculation of the first eigenvector, as well as datatypes for Fit-Hi-C results.
This page currently serves as an API reference for these data structures.
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