Biblio

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BioNetModel
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)
D. Ruths, Muller, M., Tseng, J. T., Nakhleh, L., and Ram, P. T., “The Signaling Petri Net-based Simulator: A Non-parametric Strategy for Characterizing the Dynamics of Cell-specific Signaling Networks”, PLoS Computational Biology, vol. 4, p. e1000005, 2008.
D. Ruths, Tseng, J. T., Nakhleh, L., and Ram, P. T., “De novo Signaling Pathway Predictions based on Protein-Protein Interaction, Targeted Therapy and Protein Microarray Analysis”, in Proceedings of the RECOMB Satellite Workshop on Systems Biology and Proteomics, 2007, vol. 4205, pp. 108-118.
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.
D. Ruths, Nakhleh, L., and Ram, P. T., “Rapidly Exploring Structural and Dynamic Properties of Signaling Networks Using PathwayOracle”, BMC Systems Biology, vol. 2, p. 76, 2008.
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.
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)
N. Berestovsky, Fukui, R., and Nakhleh, L., “On the performance of particle swarm optimization for parameterizing kinetic models of cellular networks.”, Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. pp. 184-191, 2012.PDF icon BerestovskyFukuiNakhleh.pdf (2.77 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)
D. Ruths and Nakhleh, L., “Deriving predictive models of signaling network dynamics from qualitative experimental data”, in Proceedings of the 9th Annual International Conference on Computational Systems Biology, 2010.PDF icon RuthsNakhleh-CSB2010.pdf (548.82 KB)
Epidemiology
S. Takuno, Kado, T., Sugino, R. P., Nakhleh, L., and Innan, H., “Population genomics in bacteria: A case study of Staphylococcus aureus.”, Molecular Biology and Evolution, vol. 29, no. 2, pp. 797-800, 2012.PDF icon TakunoEtAl-MBE11.pdf (933.28 KB)
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.
NetEvol
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)
PhyloNet
C. Than, Ruths, D., and Nakhleh, L., “PhyloNet: A Software Package for Analyzing and Reconstructing Reticulate Evolutionary Relationships”, BMC Bioinformatics, vol. 9, p. 322, 2008.
L. Nakhleh, Sun, J., Warnow, T., Linder, R., Moret, B. M. E., and Tholse, A., “Towards the development of tools for evaluating phylogenetic network reconstruction methods”, in Proc.\ 8th Pacific Symp. on Biocomputing ({PSB03}), 2003, pp. 315–326.
Y. Yu, Than, C., Degnan, J. H., and Nakhleh, L., “Coalescent histories on phylogenetic networks and detection of hybridization despite incomplete lineage sorting”, Systematic Biology, vol. 60, pp. 138-149, 2011.PDF icon YuEtAl-SB11.pdf (696.39 KB)
L. Nakhleh, Ruths, D., and Innan, H., “Gene trees, species trees, and species networks”, in Meta-analysis and Combining Information in Genetics, R. Guerra and Goldstein, D., Eds. Chapman & Hall, CRC Press, 2009, pp. 275-293.
L. Nakhleh, Jin, G., Zhao, F., and Mellor-Crummey, J., “Reconstructing phylogenetic networks using maximum parsimony”, in Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference (CSB2005), 2005, pp. 93-102.
L. Nakhleh, “Evolutionary phylogenetic networks: models and issues”, in The Problem Solving Handbook for Computational Biology and Bioinformatics, L. Heath and Ramakrishnan, N., Eds. Springer, 2010, pp. 125-158.PDF icon HeathRamakrishnanBookChapter.pdf (381.74 KB)
L. Nakhleh and Wang, L. S., “Phylogenetic networks, trees, and clusters”, in Proceedings of the 2005 International Workshop on Bioinformatics Research and Applications (IWBRA 05), 2005, vol. 3515, pp. 919-926.
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.
B. M. E. Moret, Nakhleh, L., Warnow, T., Linder, C. R., Tholse, A., Padolina, A., Sun, J., and Timme, R., “Phylogenetic networks: modeling, reconstructibility, and accuracy”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 1, pp. 13–23, 2004.
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.
G. Jin, Nakhleh, L., Snir, S., and Tuller, T., “Efficient parsimony-based methods for phylogenetic network reconstruction”, Bioinformatics, vol. 23, pp. e123-e128, 2006.
L. Nakhleh and Wang, L. S., “Phylogenetic Networks: Properties and Relationship to Trees and Clusters”, LNCS Transactions on Computational Systems Biology, II, vol. 3680, pp. 82-99, 2005.

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