1995 Volume 6 Pages 152-153
DNA databases are growing exponentially. Sequence similarities are often the most valuable information we can get from DNA databases. Especially for protein-coding sequences, comparison of translated sequences give us clues to protein function. However gaps in DNA sequences prevent us from translation and force us to compare them as they are. We present an algorithm for DNA sequence comparison which translates the sequences most reliably and compares the translated sequences. The method enables us find protein sequence similarity in DNA sequences even if we do not know the protein sequences which are coded in the DNA sequences.