Abstract | ||
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Recent experimental studies on compressed indexes (BWT, CSA, FM-index) have confirmed their practicality for indexing long DNA sequences such as the human genome (about 3 billion characters) in the main memory [5,13,16]. However, these indexes are designed for exact pattern matching, which is too stringent for most biological applications. The demand is often on finding local alignments (pairs of similar substrings with gaps allowed). In this paper, we show how to build a software called BWT-SW that exploits a BWT index of a text T to speed up the dynamic programming for finding all local alignments with any pattern P. Experiments reveal that BWT-SW is very efficient (e.g., aligning a pattern of length 3,000 with the human genome takes less than a minute). We have also analyzed BWT-SW mathematically, using a simpler model (with gaps disallowed) and random strings. We find that the expected running time is O(|T|0.628|P|). As far as we know, BWT-SW is the first practical tool that can find all local alignments. |
Year | Venue | Keywords |
---|---|---|
2007 | COCOA | pattern p. experiments,human genome,billion character,experimental study,biological application,dynamic programming,long dna,bwt index,local alignment,exact pattern matching,main memory,pattern matching,dna sequence,indexation |
Field | DocType | Volume |
Discrete mathematics,Dynamic programming,Substring,Computer science,Algorithm,Search engine indexing,Theoretical computer science,Software,Human genome,Pattern matching,Speedup | Conference | 4616 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-73555-0 | 0 |
PageRank | References | Authors |
0.34 | 14 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tak-Wah Lam | 1 | 1860 | 164.96 |
Wing-Kin Sung | 2 | 1379 | 128.24 |
Siu-Lung Tam | 3 | 127 | 19.19 |
Chi-kwong Wong | 4 | 20 | 3.87 |
Siu-Ming Yiu | 5 | 197 | 19.88 |