Biblio

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Y. Zhu and Nakhleh, L., “Reconstructing the Evolution of Molecular Interaction Networks under the DMC and Link Dynamics Models”, Workshop on Algorithms in Bioinformatics, vol. LNBI 7534. pp. 57-68, 2012.PDF icon ZhuNakhleh-WABI12.pdf (1.53 MB)
J. Zhu, Wen, D., Yu, Y., Meudt, H., and Nakhleh, L., “Bayesian inference of phylogenetic networks from bi-allelic genetic markers”, PLoS Computational Biology, vol. 14, no. 1, p. e1005932, 2018.PDF icon ZhuEtAl-PLoSCB18.pdf (10.6 MB)
Y. Zhu, Lin, Z., and Nakhleh, L., “Evolution After Whole-genome Duplication: A Network Perspective”, G3: Genes | Genomes | Genetics, vol. 3, no. 11, pp. 2049-2057, 2013.PDF icon ZhuLinNakhleh13.pdf (1.18 MB)
Z. Zhu, Liu, X., Ogilvie, H. A., and Nakhleh, L., “A Divide-and-Conquer Method for Scalable Phylogenetic Network Inference from Multi-locus Data”, Bioinformatics (ISMB 19 Proceedings), vol. 35, pp. i370-i378, 2019.PDF icon ZhuEtAl-ISMB19.pdf (668.97 KB)
J. Zhu, Yu, Y., and Nakhleh, L., “In the light of deep coalescence: Revisiting trees within networks”, BMC Bioinformatics, vol. 17, no. Suppl 14, p. 415, 2016.PDF icon ZhuYuNakhleh-BMCBioinfo2016.pdf (1.06 MB)
Y. Zhu, Du, P., and Nakhleh, L., “Gene Duplicability-Connectivity-Complexity Across Organisms and a Neutral Evolutionary Explanation”, PLoS One, vol. 7, no. 9, p. e44491, 2012.PDF icon ZhuDuNakhleh.pdf (217.94 KB)
J. Zhu and Nakhleh, L., “Inference of species phylogenies from bi-allelic markers using pseudo-likelihood”, Bioinformatics, vol. 34, pp. i376-385, 2018.PDF icon ZhuNakhleh-ISMB18.pdf (1.26 MB)
W. Zhou and Nakhleh, L., “Properties of metabolic graphs: Biological organization or representation artifacts?”, BMC Bioinformatics, vol. 12, p. 132, 2011.PDF icon ZhouNakhleh-BMCBioinfo11.pdf (1.08 MB)
W. Zhou and Nakhleh, L., “Quantifying And Assessing the Effect of Chemical Symmetry in Metabolic Pathways”, Journal of Chemical Information and Modeling, vol. 52, pp. 2684-2696, 2012.PDF icon ZhouNakhleh-JCIM2012.pdf (2.66 MB)
W. Zhou and Nakhleh, L., “The strength of chemical linkage as a criterion for pruning metabolic graphs”, Bioinformatics, vol. 27, no. 14, pp. 1957-1963, 2011.PDF icon ZhouNakhleh-Bioinformatics11.pdf (749.76 KB)
W. Zhou and Nakhleh, L., “Convergent evolution of modularity in metabolic networks through different community structures”, BMC Evolutionary Biology, vol. 12, p. 181, 2012.PDF icon ZhouNakhleh-BMCEvolBiol2012.pdf (1.88 MB)
H. Zafar, Navin, N., Nakhleh, L., and Chen, K., “Computational approaches for inferring tumor evolution from single-cell genomic data”, Current Opinion in Systems Biology, vol. 7, pp. 16-25, 2017.PDF icon ZafarEtAl-Rev2017.pdf (1.34 MB)
H. Zafar, Navin, N., Chen, K., and Nakhleh, L., “SiCloneFit: Bayesian inference of population structure, genotype, and phylogeny of tumor clones from single-cell genome sequencing data”, Genome Research, 2019.
H. Zafar, Tzen, A., Navin, N., Chen, K., and Nakhleh, L., “SiFit: A method for inferring tumor trees from single-cell sequencing data under finite-site models”, Genome Biology, vol. 18, p. 178, 2017.PDF icon ZafarEtAl-GB17.pdf (2.12 MB)
H. Zafar, Wang, Y., Nakhleh, L., Navin, N., and Chen, K., “Monovar: single nucleotide variant detection in single cells”, Nature Methods, vol. 13, no. 6, pp. 505-507, 2016.PDF icon ZafarEtAl-NMETH2016.pdf (1.51 MB)