A perceptual hash function to store and retrieve large scale DNA sequences

This BLOCKIN BLOCKIN paper BLOCKIN BLOCKIN proposes BLOCKIN BLOCKIN a BLOCKIN BLOCKIN novel BLOCKIN BLOCKIN approach BLOCKIN BLOCKIN for BLOCKIN BLOCKIN storing BLOCKIN BLOCKIN and BLOCKIN BLOCKIN retrieving BLOCKIN BLOCKIN massive BLOCKIN BLOCKIN DNA BLOCKIN BLOCKIN sequences. BLOCKIN BLOCKIN The method is based on a perceptual hash function, commonly used to determine the similarity between digital images that we adapted for DNA sequences. Perceptual hash function presented here is based on a Discrete Cosine Transform Sign Only (DCT-­‐SO). Each nucleotide is encoded as a fixed gray level intensity pixel and the hash is calculated from its significant frequency characteristics. This results to a drastic data reduction between the sequence and the perceptual hash. Unlike cryptographic hash functions, perceptual hashes are not affected by "avalanche effect" and thus can be compared. The similarity distance between two hashes is estimated BLOCKIN