Biblio

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Journal Article
Y. Yu and Nakhleh, L., “A Maximum Pseudo-likelihood Approach for Phylogenetic Networks”, BMC Genomics, vol. 16, no. Suppl 10, p. S10, 2015.PDF icon YuNakhleh-BMCGenomics2015.pdf (1.75 MB)
G. Jin, Nakhleh, L., Snir, S., and Tuller, T., “Maximum likelihood of phylogenetic networks”, Bioinformatics, vol. 22, pp. 2604-2611, 2006.
B. J. Grindel, Martinez, J. R., Tellman, T. V., Harrington, D. A., Zafar, H., Nakhleh, L., Chung, L., and Farach-Carson, M. C., “Matrilysin/MMP-7 Cleavage of Perlecan/HSPG2 Complexed with Semaphorin 3A Supports FAK-Mediated Stromal Invasion by Prostate Cancer Cells”, Scientific Reports, vol. 8, p. 7262, 2018.PDF icon GrindelEtAl.pdf (2.28 MB)
Y. Lu, Muller, M., Smith, D., Dutta, B., Mourov, K., Iadevaia, S., Ruths, D., Tseng, J. - T., Yu, S., Yu, Q., Nakhleh, L., Balazsi, G., Donnelly, J., Schurdak, M., Morgan-Lappe, S., Fesik, S., Ram, P. T., and Mills, G. B., “Kinome siRNA-phosphoproteomic screen identifies networks regulating AKT signaling”, Oncogene, vol. 30, pp. 4567-4577, 2011.PDF icon Oncogene2011.pdf (905.3 KB)
M. W. Hahn and Nakhleh, L., “Irrational Exuberance for Resolved Species Trees”, Evolution, vol. 70, no. 1, pp. 7-17, 2016.PDF icon HahnNakhleh2016.pdf (433.49 KB)
K. Liu, Steinberg, E., Yozzo, A., Song, Y., Kohn, M. H., and Nakhleh, L., “Interspecific introgressive origin of genomic diversity in the house mouse”, Proceedings of the National Academy of Sciences, vol. 112, no. 1, pp. 196-201, 2015.PDF icon LiuEtAl-PNAS2014.pdf (24.54 MB)
D. Wen, Yu, Y., Zhu, J., and Nakhleh, L., “Inferring phylogenetic networks using PhyloNet”, Systematic Biology, vol. 67, no. 4, pp. 735-740, 2018.PDF icon phylonet3.pdf (144.21 KB)
G. Jin, Nakhleh, L., Snir, S., and Tuller, T., “Inferring phylogenetic networks by the maximum parsimony criterion: a case study”, Molecular Biology and Evolution, vol. 24, pp. 324-337, 2007.
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)
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)
T. Shigaki, Rees, I., Nakhleh, L., and Hirschi, K., “Identification of Three Distinct Phylogenetic Groups of CAX Cation/Proton Antiporters”, Journal of Molecular Evolution, vol. 63, pp. 815-825, 2006.
X. Fan, Chaisson, M., Nakhleh, L., and Chen, K., “HySA: A Hybrid Structural variant Assembly approach using next generation and single-molecule sequencing technologies”, Genome Research, vol. 27, pp. 793-800, 2017.PDF icon Genome Res.-2017-Fan-793-800.pdf (476.55 KB)
K. Liu, Dai, J., Truong, K., Song, Y., Kohn, M. H., and Nakhleh, L., “An HMM-based comparative genomic framework for detecting introgression in eukaryotes”, PLoS Computational Biology, vol. 10, no. 6, p. e1003649, 2014.PDF icon LiuEtAl-PLoSCB14.pdf (1.3 MB)
T. Ruths, Ruths, D., and Nakhleh, L., “GS2: An efficiently computable measure of GO-based similarity of gene sets”, Bioinformatics, vol. 25, pp. 1178-1184, 2009.
D. Ruths, Nakhleh, L., Iyengar, M. S., Reddy, S. A. G., and Ram, P. T., “Graph-theoretic Hypothesis Generation in Biological Signaling Networks”, Journal of Computational Biology, vol. 13, pp. 1546-1557, 2006.
Y. Yu, Jermaine, C., and Nakhleh, L., “Exploring phylogenetic hypotheses via Gibbs sampling on evolutionary networks”, BMC Genomics, vol. 17, no. Suppl 10, p. 784, 2016.PDF icon YuJermaineNakhleh-BMCGenomics2016.pdf (965.19 KB)
F. Barbancon, Evans, S., Nakhleh, L., Ringe, D., and Warnow, T., “An experimental study comparing linguistic phylogenetic reconstruction methods”, Diachronica, vol. 30, no. 2, pp. 143-170, 2013.PDF icon Diachronica13.pdf (575.02 KB)
G. A. Bravo, Antonelli, A., Bacon, C. D., Bartoszek, K., Blom, M. P. K., Huynh, S., Jones, G., Knowles, L. L., Lamichhaney, S., Marcussen, T., Morlon, H., Nakhleh, L., Oxelman, B., Pfeil, B., Schliep, A., Wahlberg, N., Werneck, F. P., Wiedenhoeft, J., .Willows-Munro, S., and Edwards, S. V., “Embracing heterogeneity: coalescing the Tree of Life and the future of phylogenomics”, PeerJ, vol. 7, p. e6399, 2019.PDF icon PeerJ2019.pdf (3.72 MB)
G. Jin, Nakhleh, L., Snir, S., and Tuller, T., “Efficient parsimony-based methods for phylogenetic network reconstruction”, Bioinformatics, vol. 23, pp. e123-e128, 2006.
C. Than, Sugino, R., Innan, H., and Nakhleh, L., “Efficient Inference of Bacterial Strain Trees From Genome-scale Multi-locus Data”, Bioinformatics, vol. 24, pp. i123-i131, 2008.
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)
L. Nakhleh, Roshan, U., John, S. K., Sun, J., and Warnow, T., “Designing Fast Converging Phylogenetic Methods”, Bioinformatics, vol. 17, pp. S190–S198, 2001.
C. Than, Ruths, D., Innan, H., and Nakhleh, L., “Confounding Factors in {HGT} Detection: Statistical Error, Coalescent Effects, and Multiple Solutions”, Journal of Computational Biology, vol. 14, pp. 517-535, 2007.
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)
I. A. Kanj, Nakhleh, L., and Xia, G., “The compatibility of binary characters on phylogenetic networks: Complexity and parameterized algorithms”, Algorithmica, vol. 51, pp. 99-128, 2008.

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