Anand Thamildurai

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We investigate indexing techniques for sequence data, crucial in a wide variety of applications, where efficient, scalable, and versatile search algorithms are required. Recent research has focused on suffix trees (ST) and suffix arrays (SA) as desirable index representations. Existing solutions for very long sequences however provide either efficient index(More)
We study suitable indexing techniques to support efficient exact match search in large biological sequence databases. We propose a suffix tree (ST) representation, called STA-DF, as an alternative to the array representation of ST (STA) proposed in [7] and utilized in [18]. To study the performance of STA and STA-DF, we develop a memory efficient ST-based(More)
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