Replacing suffix trees with enhanced suffix arrays
The suffix tree is one of the most important data structures in string processing and comparative genomics. However, the space consumption of the suffix tree is a bottleneck in large scale applications such as genome analysis. In this article, we will overcome this obstacle. We will show how every a...
Saved in:
| Published in: | Journal of discrete algorithms (Amsterdam, Netherlands) Vol. 2; no. 1; pp. 53 - 86 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
2004
|
| Subjects: | |
| ISSN: | 1570-8667, 1570-8675 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The suffix tree is one of the most important data structures in string processing and comparative genomics. However, the space consumption of the suffix tree is a bottleneck in large scale applications such as genome analysis. In this article, we will overcome this obstacle. We will show how
every algorithm that uses a suffix tree as data structure can systematically be replaced with an algorithm that uses an enhanced suffix array and solves the same problem in the same time complexity. The generic name
enhanced suffix array stands for data structures consisting of the suffix array and additional tables. Our new algorithms are not only more space efficient than previous ones, but they are also faster and easier to implement. |
|---|---|
| ISSN: | 1570-8667 1570-8675 |
| DOI: | 10.1016/S1570-8667(03)00065-0 |