TRELLIS+: An Effective Approach for Indexing Genome-Scale Sequences Using Suffix Trees

@article{Pupacdi2008TRELLISAE,
  title={TRELLIS+: An Effective Approach for Indexing Genome-Scale Sequences Using Suffix Trees},
  author={Benjarath Pupacdi and Mohammed J. Zaki},
  journal={Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing},
  year={2008},
  pages={90-101}
}
UNLABELLED With advances in high-throughput sequencing methods, and the corresponding exponential growth in sequence data, it has become critical to develop scalable data management techniques for sequence storage, retrieval and analysis. In this paper we present a novel disk-based suffix tree approach, called TRELLIS+, that effectively scales to massive amount of sequence data using only a limited amount of main-memory, based on a novel string buffering strategy. We show experimentally that… CONTINUE READING
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