1. A method for storing classified biological sequence key-value elements in a data structure and generating a characterization report of a biological sequence query, the method comprising using a processor of a computing platform and the processor thereby: assigning a size of a primary bit array of a probabilistic data structure, the size being assigned in association with a desired maximum false positive rate and an expected number of key-value elements to be stored in a probabilistic data structure; assigning a count of hash operators of the probabilistic data structure; assigning at least one encoding operator of the probabilistic data structure, the encoding operator having a bit mask output with an assigned mask size and a mask weight, wherein the weight is the number of activated bits; allocating memory of the computing platform such that the allocated memory is sufficient to store the primary bit array according to the assigned size of the primary bit array; iteratively storing instances of the key-value elements in the primary bit array, wherein each instance of the key-value elements comprises a biological sequence k-mer key and a biological classification value paired to the key, and wherein each iteration of the storing further comprises the following steps with respect to the storing of each instance of the key-value elements: applying the hash operators to the biological sequence k-mer of an instance thereby obtaining a set of indexes particular to the key, determining insertion locations in the primary bit array according to the set of indexes, executing the at least one encoding operator on the value of the instance, thereby converting the value to a particular bit mask having the assigned mask size and the assigned mask weight, and activating a set of bits in the primary bit array with the bit mask at the insertion locations; obtaining the biological sequence query comprising a set of overlapping biological sequence k-mers; iteratively extracting instances of k-mer characterizations for each biological sequence k-mer in the set of overlapping biological sequence k-mers, and wherein each iteration of the extracting further comprises the following steps with respect to the extracting of each instance of the set of overlapping biological sequence k-mers: applying the hash operators to the biological sequence k-mer of an instance thereby obtaining query indexes, determining query locations in the primary bit array according to the query indexes, retrieving stored bit masks from the query locations, bitwise ANDing the stored bit masks into a combined bit mask, and decoding the combined bit mask into a k-mer characterization of the instance; and generating the characterization report of the biological sequence query from the instances of k-mer characterizations.