Faster algorithms for computing maximal multirepeats in multiple sequences
dc.contributor.author | Iliopoulos, Costas | |
dc.contributor.author | Smyth, Bill | |
dc.contributor.author | Yusufu, M. | |
dc.date.accessioned | 2017-01-30T12:30:58Z | |
dc.date.available | 2017-01-30T12:30:58Z | |
dc.date.created | 2010-03-31T20:02:38Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Iliopoulos, Costas and Smyth, W. F. and Yusufu, Munina. 2009. Faster algorithms for computing maximal multirepeats in multiple sequences. Fundamenta Informaticae. 97 (3): pp. 311-320. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/22370 | |
dc.description.abstract |
A repeat in a string is a substring that occurs more than once. A repeat is extendible if every occurrence of the repeat has an identical letter either on the left or on the right; otherwise, it is maximal. A multirepeat is a repeat that occurs at least mmin times (mmin greater than/equal to 2) in each of at least q greater than/equal to 1 strings in a given set of strings. In this paper, we describe a family of efficient algorithms based on suffix arrays to compute maximal multirepeats under various constraints. Our algorithms are faster, more flexible and much more space-efficient than algorithms recently proposed for this problem. The results extend recent work by two of the authors computing all maximal repeats in a single string. | |
dc.publisher | IOS Press | |
dc.subject | gaps | |
dc.subject | maximal multirepeats | |
dc.subject | biological sequences | |
dc.subject | repeats | |
dc.subject | suffix arrays | |
dc.title | Faster algorithms for computing maximal multirepeats in multiple sequences | |
dc.type | Journal Article | |
dcterms.source.volume | 97 | |
dcterms.source.number | 3 | |
dcterms.source.startPage | 311 | |
dcterms.source.endPage | 320 | |
dcterms.source.issn | 01692968 | |
dcterms.source.title | Fundamenta Informaticae | |
curtin.department | Digital Ecosystems and Business Intelligence Institute (DEBII) | |
curtin.accessStatus | Open access | |
curtin.faculty | Curtin Business School | |
curtin.faculty | The Digital Ecosystems and Business Intelligence Institute (DEBII) |