Hi i have used HiCKRy to generate a bias file based on 1kb resolution data from juicers .hic file. The output is as below, do you have any suggestions for how to run this? The data is MicroC with nearly 3 billion contatcs.
The maps load and are visually excellent in Juicebox. Would i be better
to convert the KR normalised data from juicer instead? The current data
was dumped with no normalisation applied.
Bias file out info
Creating sparse matrix...
Sparse matrix creation took 993.3545796871185 seconds
Removing 0.05 percent of most sparse bins
... corresponds to 154414 total rows
... corresponds to all bins with less than or equal to 0.0 total interactions
Sparse rows removed
Initial matrix size: 3088281 rows and 3088281 columns
New matrix size: 2796973 rows and 2796973 columns
Normalizing with KR Algorithm
WARNING... Bias vector has a median outside of typical range (0.5, 2).
Consider running with a larger -x option if problems occur
Mean 0.8113461825526884
Median 4.6122513483594347e-07
Std. Dev. 1328.74827359699
FitHiC.fithic.log info
Number of all fragments= 3088281
Possible, Intra-chr in range: pairs= 474255561360
Possible, Intra-chr all: pairs= 237133957218.0
Possible, Inter-chr all: pairs= 4531607354403.0
Desired genomic distance range [2000 inf]
Range of possible genomic distances [2000 248956000]
Baseline intrachromosomal probability is 4.2170257340271535e-12
Interchromosomal probability is 0
5th quantile of biases: -1.0
50th quantile of biases: 4.6122513483594347e-07
95th quantile of biases: 1.7545576787840297e-06
Out of 3088281 loci 3088280 were discarded with biases not in range [0.5 2]