This novel version of i-ADHoRe is designed to detect genomic homology in extremely large-scale data sets. Along with several under-the hood-improvements, resulting in a 30 fold reduction in runtime over previous versions, the implementation of multithreading and MPI now enables i-ADHoRe to take advantage of a parallel computing platform. As the scale of the data sets increased, the need for a new alignment algorithm able to cope with dozens of genomic segments became apparent. Therefore a new greedy graph based alignment algorithm has been implemented (described in Fostier et al., 2011), allowing analysis of even the largest data sets currently available.

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* Proost, S., * Fostier, J., De Witte, D., Dhoedt, B., Demeester, P., Van de Peer, Y., Vandepoele, K. (2012) i-ADHoRe 3.0 - Fast and Sensitive Detection of Genomic Homology in Extremely Large Data Sets. Nucleic Acids Res. 40(2):e11. *contributed equally



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