def saveByChromosomeHeatmap(self, filename, resolution=10000,
Saves chromosome by chromosome heatmaps to h5dict.
for chrom2 in xrange(chrom, self.genome.chrmCount):
+ if (includeTrans == False) and (chrom2 != chrom):
start = np.searchsorted(c2, chrom2, "left")
end = np.searchsorted(c2, chrom2, "right")
and for HDD storage it supports both sparse and dense matrix logic.
In fact, sparse logic with HDF5-based storage in memory is already good (default settings).
+ This class loads data, saved by saveByChromosomeHeatmap method of fragmentHiC.
+ It is not designed to load heatmaps saved by "saveHeatmap" class, because those
+ can fit in memory, and should be analyzed by a more powerful binnedData class.