HitFrequencyVectors

The datasets contain each 5 million query sequences (16-mers) with there according Hit Frequency Vectors. Hit Frequency Vectors conain information on the number of occurances of approximated strings given a dissimilarity threshold. Columns: site, bin[0-16] (one column per bin) HDE contains exactly computed Hit Frequency Vectors based on Hamming distance HDA contains approximated Hit Frequency Vectors based on Hamming distance EDA contains approximated Hit Frequency Vectors based on edit distance The zipped folders contain prediction results for each of the datasets for 2 predicitve models BUT and KD.