The Sixth q-bio Conference, Poster Session I

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Time

August 9, 2012, 20:30 - 23:30

Place

Junior and Senior Commons Rooms

Spotlights

• A1 Tamar Friedlander, Weizmann Institute of Science, Multiplicative mutations and modularity in biological systems.
• A2 Baris Hancioglu, Rice University, Network architectures compatible with the nonmonotonic dynamics of central metabolism genes under hypoxic stress in M. tuberculosis.
• A3 Michal Komorowski, Polish Academy of Sciences, Statistical analysis of stochastic biochemical signaling: inference, information processing and experimental design.
• A4 Saeed Saberi, Simon Fraiser University, Orchestrating chromosome segregation using the Par system.
• A5 Samuel Bandara, Stanford University, Parameter estimation from live cell siRNA data predicts gene function from dynamics.
• A6 Anat Burger, UC San Diego, Noise buffering of gene expression by decoys.
• A7 Gregor Neuert, Massachusetts Institute of Technology, Long-noncoding RNAs contribute to clonal heterogeneity by modulating transcription factor recruitment.
• A8 Alissa Weaver, Vanderbilt University Medical Center, Network Modeling of focal adhesion-invadopodia transitions.

Posters

• A9 Ludmil Alexandrov, Wellcome Trust Sanger Institute, Genome sequencing and analysis of the tasmanian devil and its transmissible cancer.
• A10 Brian Ashcroft, Arizona State University, Predicting 3D nuclear architecture patterns in cancer.
• A11 Alvaro Banderas, ZMBH, Phenotypic transitions in yeast mating.
• A12 Soumya Banerjee, University of New Mexico, Quantifying uncertainty in kinetics of within-host West Nile virus infection.
• A13 Matt Brennan, Johns Hopkins University, Noise sources and accuracy of drosophila dorsoventral patterning.
• A14 Srabanti Chaudhury, Los Alamos National Laboratory, Universality of poisson indicator and Fano factor of transport event statistics in ion channels and enzyme kinetics.
• A15 Xiang Cheng, Emory University, Large number of receptors reduces cellular response time variation.
• A16 Bryan Daniels, University of Wisconsin-Madison, Automated adaptive inference of dynamical phenomenological models in systems biology.
• A17 Justine Dattani, Imperial College London, Time-dependent analytical solutions of the master equation for gene expression and protein levels.
• A18 Sepideh Dolatshahi, Georgia Institute of Technology, Computational systems analysis of the glycolytic pathway in Lactococcus lactis.
• A19 William Edelman, University of Washington, Dynamic changes in protein abundance and phosphorylation in yeast in response to environmental stress.
• A20 Jonathan Friedman, Massachusetts Institute of Technology, From 2D niches to stress response pathways.
• A21 Can Guven, University of Maryland, Stochastic modeling of mechanisms for cellular contact guidance.
• A22 Leonard Harris, University of Pittsburgh School of Medicine, A Runge-Kutta framework for tau leaping.
• A23 Diana Hermith, University of Siena, Modeling a cellular signaling system by using concurrent constraint process calculi.
• A24 Bin Hu, Los Alamos National Laboratory, Estimating the probability of polyreactive antibodies disabling a gp41 trimer after T cell-HIV adhesion.
• A25 Zhirui Hu, Tsinghua University, A Markov model of induced pluripotency.
• A26 Seunghee Jang, University of Washington, Engineering with auxin: characterization of a synthetic signal processing toolbox.
• A27 Srividhya Jeyaraman, Biocomplexity Institute, Indiana University, Bloomington, Modeling contact inhibition of growth using Glazier-Graner-Hogeweg (GGH) approach.
• A28 Yi Jiang, Georgia State Univ & Los Alamos National Lab, Analyses of mouse RPE morphology give discriminatory categories.
• A29 Zack Jones, Middle Tennessee State University, An inverse problem for estimating parameter models for mammalian cell cycle entry.
• A30 John Kang, Carnegie Mellon University, Modeling stretch-induced release of molecules in the actin cytoskeleton.
• A31 Kimberly Kanigel-Winner, University of New Mexico Center for Modeling of Spatiotemporal Cell Signaling, Ovarian cancer relapse: micro-carcinomas vary in form with peritoneal niche.
• A32 Mark Kittisopikul, UT Southwestern, Noise in analogous circuits affects adaptability.
• A33 Marek Kochanczyk, Institute of Fundamental Technological Research, Warsaw, Poland, SpatKin: spatially-resolved rule-based modeling of biochemical systems on the membrane.
• A34 Pawel Kocieniewski, IPPT, The ERK-induced repression of MEK1 and MEK2 in the MAPK cascade dynamics.
• A35 Michael Lawson, UCSB, Stochastic spatial dynamics enable robust cell polarization.
• A36 Byoungkoo Lee, Georgia State University, Three dimensional mathematical model of extracellular matrix in breast cancer.
• A37 Tek-Hyung Lee, Massachusetts Institute of Technology, A regulatory role for repeated decoy transcription factor binding sites in target gene expression.
• A38 Michael LeVine, Weill Cornell Medical College of Cornell University, A novel technique to determine allosteric interaction networks from molecular dynamics simulations of proteins.
• A39 Yan Li, the University of Georgia, Modeling the impact of inoculum dose on within-host virus dynamics.
• A40 Feng Liu, Princeton University, The precision and reproducibility of the segmentation gene network of Drosophila embryos under Bicoid dosage perturbations.
• A41 Aviv Madar, New York University, Modeling quantitative cell-type specific regulatory networks from public, large data compendiums.
• A42 Will Matloff, Vanderbilt University, Design and fabrication of a continuous microfluidic formulator.
• A43 Thomas McDonald, Rice University, A branching process model of hematopoiesis with applications to Chronic Myeloid Leukemia
• A44 Ramit Mehr, Bar-Ilan University, Simulations of the NK cell immune synapse reveal that activation thresholds can be established by inhibitory receptors acting locally.
• A45 Pedro Mendes, University of Manchester, ManyCell: A multi-scale simulator for cellular systems.
• A46 Jose Alberto, Nakauma Gonzalez, Centro de Investigacion y de Estudios Avanzados del IPN unidad Monterrey (CINVESTAV-Monterrey), Frequency response on the synthesis of tryptophan of B. subtilis and E. coli.
• A47 Jatin Narula, Rice University, Mechanism of sporulation decision in Bacillus subtilis.
• A48 Javad Noorbakhsh, Boston University, A comparison of gene regulation by eukaryotic microRNAs and prokaroytic sRNAs.
• A49 Emily Pace, Merrimack Pharmaceuticals, Investigating combinatorial ligand addiction provides insights into rational drug combinations in cancer therapy.
• A50 Stephen Payne, Duke University, Robust size control in pattern formation by engineered bacteria via a quasi-Turing mechanism.
• A51 Xianfeng Ping, Center for Quantitative Biology, Peking University, Cell fate patterning in C. elegans VPCs.
• A52 Kristin Riching, University of Wisconsin at Madison, The effect of physical and mechanical properties of aligned collagen on breast cancer cell migration.
• A53 Katherine Roth, Vanderbilt University, Control of the GAL network in S. cerevisiae for use in biological control theory.
• A54 Michael Rowland, University of Kansas, Crosstalk and competition in signaling networks.
• A55 Michael Rust, University of Chicago, Robust circadian timing from differential input sensitivity of coupled catalytic domains.
• A56 Jasmine Saini, Drexel University, Understanding codon bias influence on the B cell repertoire diversity and functionality.
• A57 John Sekar, Department of Computational and Systems Biology, University of Pittsburgh, Modular construction of rule based models.
• A58 Yong-Jun Shin, Cornell University, Feedback control theory reveals tradeoff between robustness and stability in the p53-MDM2 network.
• A59 Sean Stromberg, Emory University, Population-expression dynamics.
• A60 Abhinav Tiwari, Rice University, Post-translational utrasensitive switch governs pulsatile activation of B. subtilis stress-response sigma factor.
• A61 Rodrigo Toledo, Centro de Ciencias de la Complejidad (Centre for Complexity Sciences), Cancer dynamics and game theory: An espacially extended model.
• A62 Margaritis Voliotis, University of Bristol, The magnitude and color of noise in genetic negative feedback systems.
• A63 Noreen Walker, AMOLF, Interdependence of growth rate fluctuations and noisy gene expression.
• A64 Guopeng Wei, Carnegie Mellon University, Leader-follower optimization of large bacteria population.
• A65 Lu Xie, Carnegie Mellon University, Inferring fine-scale kinetics of in vitro capsid assembly via multi-curve fitting.
• A66 Jianhua Xing, Virginia Tech, Computational analysis of network motifs suggests simple strategy to study pathway cross-talks of cells under repetitive exposure to stimuli.
• A67 Yao Xu, University of Nevada Reno, Long-range protein-water dynamics role in understanding hyperactivity and enhancement of insect antifreeze proteins.
• A68 Hong Zhang, CAS-MPG Partner Institute for Computational Biology, A computational model of the nitric oxide/cGMP signaling pathway.
• A69 Francesca Mancini, Time-dependent information transmission in genetic regulatory networks