GenHap, a novel evolutionary approach for haplotyping, published on BMC Bioinformatics

Marco S. Nobile, Associate Professor with the Ca' Foscari University of Venice, Italy

GenHap, a novel evolutionary approach for haplotyping, published on BMC Bioinformatics

GenHap is a novel evolutionary method to solve the haplotyping problem. basically subdivides the data into multiple independent combinatorial subproblems, each solved using a separate genetic algorithm. Then a recombination step fuses the solutions of subproblems into a final complete haplotype. GenHap also natively distributes the calculations over multiple cores by means of MPI, reducing the running time of the whole methodology.

The paper describing GenHap was accepted long time ago but today it has been finally published on BMC Bioinformatics.

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