dc.contributor.author | Healy, John | en |
dc.contributor.author | Chambers, Desmond | en |
dc.date.accessioned | 2017-03-20T21:51:38Z | |
dc.date.available | 2017-03-20T21:51:38Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | HEALY, J. and CHAMBERS, D. 2011. 5th International Conference on Practical Applications of Computational Biology & Bioinformatics | en |
dc.identifier.uri | https://research.thea.ie/handle/20.500.12065/449 | |
dc.description.abstract | Although hash-based approaches to sequence alignment and genome assembly are long established, their utility is predicated on the rapid identification of exact k-mers from a hash-map or similar data structure. We describe how a fuzzy hash-map can be applied to quickly and accurately align a Prokaryotic genome to the reference genome of a related species. Using this technique, a draft genome of Mycoplasma genitalium, sampled at 1X coverage, was accurately anchored against the genome of Mycoplasma pneumoniae. The fuzzy approach to alignment, ordered and orientated more than 65% of the reads from the draft genome in under 10 seconds, with an error rate of <1.5%. Without sacrificing execution speed, fuzzy hash-maps also provide a mechanism for error tolerance and variability in k-mer centric sequence alignment and assembly applications. | en |
dc.format | pdf | en |
dc.language.iso | en | en |
dc.relation.ispartof | 5th International Conference on Practical Applications of Computational Biology & Bioinformatics | en |
dc.subject | Fuzzy Hash-Map | en |
dc.subject | Prokaryotic genome | en |
dc.subject | Reference genome | en |
dc.subject | Mycoplasma genitalium | en |
dc.subject | Mycoplasma pneumoniae | en |
dc.title | Fast and accurate genome anchoring using fuzzy hash maps | en |
dc.type | Conference Item | en |
dc.subject.department | Mathematics and Computing - GMIT | en |