The Seventh q-bio Conference, Poster Session I

Time

August 8, 2013, 20:00 - 23:00

Posters

• A1 Ludmil Alexandrov, Wellcome Trust Sanger Institute, Signatures of Mutational Processes in Human Cancer
• A2 Edgar Altszyler, University of Bueno Aires, Constrains of a module's effective sensitivity by the input and readout dynamic range
• A3 Rajesh Balagam, Rice University, Biophysical analysis of mechanical intercellular interactions discriminates between alternative models of A-motility in Myxococcus xanthus
• A4 Carl Brown III, University of New Mexico, Enzyme displacement reactions for programmable molecular logic
• A5 Yangxiaolu Cao, Duke University, Precise Programming of Bacterial Pattern Formation by a Synthetic Circuit and Inkjet Printing
• A6 Mark Chan, University of California, San Francisco, Modeling the Coordination of Growth and Inheritance to Achieve Vacuole Size Scaling
• A7 Xueer Chen, Villanova University, Survival Analysis with Network Features
• A8 Chase Cockrell, University of Chicago, Spatially Explicit Multiscale Model of Intestinal Epithelial Metaplasia
• A9 Pablo Crotti, Imperial College London, A trade-off in the ability of genes to induce phenotypic variability and robustness
• A11 Sarah Goldberg, Technion, Israel, Measuring Transcription Kinetics in E. coli Using Synthetic Constructs
• A13 Diana Elena Gratie, Åbo Akademi University, Quantitative model refinement with rule-based models, Petri net models, PRISM GCL models
• A14 Katharina Imkeller, Humboldt University Berlin, Gene network models for circadian entrainment
• A15 Joanna Jaruszewicz, IPPT, The toggle switch in dividing cells
• A16 Romica Kerketta, University of New Mexico, Mathematical model of drug transport to determine chemotherapeutic outcomes in patients with cancer metastases in the liver
• A17 Marek Kimmel, Rice University, Modeling Spatial Effects in Carcinogenesis: Stochastic and Deterministic Reaction-Diffusion
• A18 Mihaly Koltai, ZMBH (Universität Heidelberg), Systematic bifurcation analysis of feedback-regulated bacterial two-component systems
• A19 Jean-Benoit Lalanne, McGill University, Adaptive Sorting Revealed by In Silico Evolution
• A20 Neil Lamarre, Temple University School of Medicine, Quantifying endothelial function using dose equivalence theory
• A21 Miri Lavi Adler, Weizmann Institute of Science, Mathematical and experimental characterization of feed-forward circuits in gene regulation
• A22 Nathan Lemons, Los Alamos National Lab, Equation-Free Computation for Rule-Based Models of Biochemical Reaction Networks
• A24 Carlos Lopez, Vanderbilt University, Expansion of cell death models to understand the balance between necrosis and apoptosis
• A25 Srividaya Iyer-Biswas, University of Chicago, Scaling of Fluctuations in Growth and Division in Single Bacterial Cells
• A26 Hannah Meredith, Duke University, Antibiotic-mediated altruistic bacterial death and dynamics of collective drug tolerance
• A27 Eric Mjolsness, University of California, Irvine, Problems of Type Theory and Regularization for Morphodynamics
• A28 Brian Munsky, Los Alamos National Laboratory, Quantitative Predictions of Gene Expression
• A29 Jennifer Oyler, Cornell University, Dynamic competition for cytokine between effector and regulatory T cell subsets sharpens in vivo responses to antigen quantity
• A30 Nick Phillips, University of Manchester, Modeling the Hes1 Oscillations in Neural Progenitor Maintenance
• A31 Maria Pospieszalska, American University, Event-Tracking Stochastic Model Reveals Dynamics of Atherosclerotic Plaque
• A33 Ashok Prasad, Colorado State University, Comparative Analysis of Metabolic Robustness: E. coli and Synechocystis
• A34 Hong Qin, Spellman College, Emergence of cellular aging from gene networks
• A35 Ana Quezada, University of California Riverside, Modeling and Analysis of Transport in the Mammary Glands
• A36 Anisur Rahman, North Carolina State University, q-bio analysis of the Akt/mTOR pathway
• A37 Daphna Rothschild Bup, Weizmann Institute of Science, E.coli promoter activity in a combination of growth conditions is a linear combination of promoter activities in the individual growth conditions
• A38 Michael Rowland, University of Kansas, Crosstalk and the Evolution of Specificity in Two-Component Systems
• A39 Bahar Sayoldin, New Mexico State University, An Efficient Clustering Algorithm for Discovering Protein Complexes and Functional Modules in Protein-Protein Interaction Networks
• A40 John Sekar, University of Pittsburgh, Visualizing Rule-based Models
• A41 Robert Sheehan, University of Pittsburgh, Adaptation, Tolerance, and Bistability in Endotoxin Signaling
• A42 David Sivak, University of California, San Francisco, A phase diagram of regulatory strategies
• A43 Gregory Smith, Carnegie Mellon University, Applying cellular crowding models to simulations of virus capsid assembly in vitro
• A44 Deborah Striegel, National Institutes of Health, The Graph Theory of Pathology in Diabetic Islets
• A45 Paulina Szymańska, College of Inter-Faculty Individual Studies in Mathematics and Natural Sciences, University of Warsaw, Diffusion Controls Reaction Rates and Steady States
• A46 Ali Tabei, University of Chicago, Intracellular transport of insulin granules is a subordinated random walk
• A47 Martin Tchernookov, Emory University, Evolution of Bacterial Suicide
• A48 Marc Turcotte, University of Texas at Arlington, Subtle Interplay of Stochasticity and Deterministic Dynamics Pervades an Evolutionary Plausible Genetic Circuit for Bacillus subtilis Competence
• A49 Aarón Vázquez Jiménez, CINVESTAV, Noise characterization in gene expression systems with positive feedback loop
• A50 Dominik Wojtczak, University of Liverpool, Branching Markov Decision Processes with Real-Time Constraints
• A51 Aurore Woller, Université des Sciences et Technologies de Lille & Institut Pasteur de Lille, Entrainment of damped vs self-sustained circadian oscillators
• A52 Jin Yang, CAS-MPG Partner Institute for Computational Biology, Nonequilibrium steady states can generate apparent ligand-receptor binding heterogeneity
• A53 Yang Yang, University of Pittsburgh, Heterogeneity, Signal Tntegration, and Synergy in Bacillus subtilis Spore Germination
• A54 Quentin Feltgen, Emory University, Predictive information and population dynamics in a changing world
• A55 Sayak Mukherjee, Ohio State University, How phenotypes shape cell-to-cell variations of protein abundances?
• A56 Marta Iwanaszko, Silesian University of Technology, NF-κB and IRF: cross-regulation between two major pathways