A Long Fragment Aligner called ALFALFA
Michaël Vyverman1, Bernard De Baets2, Veerle Fack3
1Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Krijgslaan 281 Building S9, Ghent, B-9000, Belgium. Michael.Vyverman@UGent.be.
Background:
Rapid evolutions in sequencing technology force read mappers into flexible adaptation to longer reads, changing error models, memory barriers and novel applications.
Results:
ALFALFA achieves a high performance in accurately mapping long single-end and paired-end reads to gigabase-scale reference genomes, while remaining competitive for mapping shorter reads. Its seed-and-extend workflow is underpinned by fast retrieval of super-maximal exact matches from an enhanced sparse suffix array, with flexible parameter tuning to balance performance, memory footprint and accuracy.
Conclusions:
ALFALFA is open source and available at http://alfalfa.ugent.be .
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