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EMMA: an efficient massive mapping algorithm using improved approximate mapping filtering.

Xin Zhang·Zhi-Wei Cao·Zhi-Xin Lin·Qing-Kang Wang·Yi-Xue Li
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Abstract

Efficient massive mapping algorithm (EMMA), an algorithm on efficiently mapping massive cDNAs onto genomic sequences, has recently been developed. The process of mapping massive cDNAs onto genomic sequences has been improved using more approximate mapping filtering based on an enhanced suffix array coupled with a pruned fast hash table, algorithms of block alignment extensions, and k-longest paths. When compared with the classical BLAT software in this field, the computing of EMMA ranges from two to forty-one times faster under similar prediction precisions.

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AlgorithmsChromosome MappingComputational BiologyDNA, ComplementaryDatabases, GeneticModels, StatisticalPattern Recognition, AutomatedProgramming LanguagesReproducibility of ResultsSoftwareJournal ArticleResearch Support, Non-U.S. Gov't

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Xin Zhang, Zhi-Wei Cao, Zhi-Xin Lin, Qing-Kang Wang, Yi-Xue Li. 2006. EMMA: an efficient massive mapping algorithm using improved approximate mapping filtering.. https://doi.org/10.1111/j.1745-7270.2006.00237.x

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