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Workshops

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Abstract

The MidQBio Symposium aims to bring together research groups from around the Midwest with a shared interest in quantitative biology, and to help build a community of these researchers. The symposium provides researchers opportunities to meet periodically to disseminate recent results; network with other research groups in the region; and explore potential collaborations.

 

MidQBio 2016 Attendees

 

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Presentations will be available in a few weeks.

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Cite this work

Researchers should cite this work as follows:

  • Srividya Iyer-Biswas; Tamara L. Kinzer-Ursem; Andrew Mugler (2016), "MidQBio 2016: 4th Midwest Quantitative Biology Symposium," http://nanohub.org/resources/25150.

    BibTex | EndNote

Time

Location

Room 1001, Martin Jischke Hall of Biomedical Engineering, Purdue University, West Lafayette, IN

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In This Workshop

  1. Characterizing Noise in a Mathematical Model of the Adipogenic Transcriptional Network

    15 Dec 2016 | Online Presentations | Contributor(s): Alexandra Jilkine

    For each model, we first characterized overall susceptibility to noise by calculating the relative local sensitivity of AdipoQ and fat to various parameters. We then simulated the experiment done by Loo et al. with 30% added noise to determine if our system could replicate their data. Our...

  2. Population Density Modulates Antibiotic Efficacy, Treatment Bistability, and the Evolution of Resistance in Bacteria

    13 Dec 2016 | Online Presentations | Contributor(s): Kevin Wood

    In this talk, I will discuss our recent work to address these questions by measuring real-time per capita growth of Enterococcus faecalis populations at fixed population densities using multiplexed computer-automated culture devices. We show that density-dependent growth inhibition is pervasive...

  3. Using C. Elegans Population-wide Sequence Data to Investigate Genome Evolution

    19 Dec 2016 | Online Presentations | Contributor(s): Erik Anderson

    We have collected genome-wide and species-wide sequence data for the nematode Caenorhabditis elegans. Using these data, we can quantify different features of genomes and how those features vary across strains in the species. This approach allows us to address questions of genome evolution.

  4. Tracking the Maturation of Organelles and Signaling Cluster with Quantitative Super-Resolution Microscopy

    15 Dec 2016 | Online Presentations | Contributor(s): Elias M. Puchner

    Quantitative Super-Resolution Microscopy is evolving into a powerful technique to study biological processes below the optical diffraction limit. However, a deeper understanding of the biological structures under investigation is often limited by the inability to quantify their molecular...

  5. Tissue-Level Communication Through Patterning Of Intercellular Ca2+ Wave Dynamics

    22 Nov 2016 | Online Presentations | Contributor(s): Jeremiah J. Zartman

    Here we characterize periodic intercellular Ca2+ waves (ICWs) in a model organ system of epithelial growth and patterning—the Drosophila wing imaginal disc. We developed a novel regulated environment for micro-organs (REM-Chip) device that enable a broad range of genetic, chemical and...

  6. Unsupervised Learning to Unravel Differential Cell Fate Outcomes

    17 Jan 2017 | Online Presentations | Contributor(s): Kristen Naegle

    Cells are constantly receiving cues from the outside world and responding to them by altering their physiological fate by transducing this signal via intracellular biochemical networks. An important mechanism that many cell networks utilize to transduce these signals is the regulation of protein...

  7. Inference from Single Molecules to Cells

    19 Jan 2017 | Online Presentations | Contributor(s): Steve Pressé