Abstract
Searching patterns in the DNA sequence is an important step in biological research. To speed up the search process, one can index the DNA sequence. However, classical indexing data structures like suffix trees and suffix arrays are not feasible for indexing DNA sequences due to main memory requirement, as DNA sequences can be very long. In this paper, we evaluate the performance of two compressed data structures, Compressed Suffix Array (CSA) and FM-index, in the context of searching and indexing DNA sequences. Our results show that CSA is better than FM-index for searching long patterns. We also investigate other practical aspects of the data structures such as the memory requirement for building the indexes.