Abstract
Spaced seeds are important tools for similarity search in bioinformatics, and using several seeds together often significantly improves their performance. With existing approaches, however, for each seed we keep a separate linear-size data structure, either a hash table or a spaced suffix array (SSA). In this paper we show how to compress SSAs relative to normal suffix arrays (SAs) and still support fast random access to them. We first prove a theoretical upper bound on the space needed to store an SSA when we already have the SA. We then present experiments indicating that our approach works even better in practice.
| Original language | English |
|---|---|
| Pages (from-to) | 37-45 |
| Number of pages | 9 |
| Journal | CEUR Workshop Proceedings |
| Volume | 1146 |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | 2nd International Conference on Algorithms for Big Data, ICABD 2014 - Palermo, Italy Duration: 7 Apr 2014 → 9 Apr 2014 |
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