q-bio Summer School and Conference
11th Annual q-bio Conference
The 11th annual q-bio Conference, to be held at Rutgers University from July 25 to 28, 2017, will offer an intimate and dynamic venue to brings together researchers who aim to advance predictive modeling and theoretical understanding of cellular and molecular biological systems in coordination with quantitative experimentation.
Rutgers University is the State University of New Jersey, centrally located between New York City and Philadelphia. Its vibrant Quantitative Biology program, which involves many departments and research centers, as well as its proximity to other leading institutions in the Northeast, makes it an ideal place to host qbio-2017 in the coming July.
Submit an Abstract
The deadline for submission is March 31, 2017. ALL contributed abstracts should be submitted using the online portal, using the required abstract template and CANNOT exceed one-page. Please save your abstract in .PDF format before uploading to the submission form online. Note: All presenters (oral and/or poster) must also register separately for the conference.
The q-bio community emphasizes the integration of theory, computation and quantitative experimentation to understand, predict, and control biological phenomena. The summer meeting has a single track program including opening and closing banquets, plenary talks, contributed talks (25+), poster spotlight (16+), two evening poster sessions, discussions framing grand challenges, and opportunities for networking and fostering collaborations. The structure of the meeting and its coordination with the q-bio summer schools promotes rich interactions among students, postdoctoral scholars and faculty. Register here
Download a conference flyer for sharing with your constituents. We hope to see you there!
11th Annual q-bio Summer School
June 4-20, 2017
Colorado State University
Fort Collins, Colorado, USA
The q-bio Summer School is an annual event intended to advance predictive modeling of cellular regulatory systems by exposing participants to a survey of work in quantitative biology and by providing in-depth instruction in selected techniques, with an emphasis on techniques useful for modeling cellular regulatory networks. Certain data analysis techniques and experimental methods will also be covered.
Lectures, tutorials and projects will focus will be on different aspects of systems biology (see topics below and the school wiki for more information). Students will each work on a mentored project. Participants will attend daily core lectures, project-specific lectures, journal clubs, and computer labs. The summer school is designed for graduate students, postdocs, or anyone with a quantitative background who is new to modeling cellular regulatory systems/networks.
At the school students will attend 20-25 hours of core lectures, 20-25 hours of course-specific lectures, 10-15 hours of computational and experimental labs, 10-15 hours of student presentations, and daily expert panel discussions on issues related to careers in quantitative biology. There will also be 20-30 hours of mentored project work, which may include some simple experiments, theoretical developments and/or real data analyses. Main topics of the 2017 summer school are: Cell Signaling, Cancer Dynamics, Single-Cell Gene Regulation, and Computational Synthetic Biology.
Organizers: Rosemary Braun (Northwestern University), William S. Hlavacek (Los Alamos National Laboratory), Marek Kimmel (Rice University), Diego Krapf (CSU), Brian Munsky (CSU), Ashok Prasad (CSU), Douglas Shepherd (University of Colorado, Denver), Patrick Shipman (CSU), Sabrina Spencer (University of Colorado, Boulder), Tim Stasevich (CSU), Lev S. Tsimring (University of California, San Diego).
For inquiries about the summer school, please contact: Dr. Brian Munsky: firstname.lastname@example.org
Scholarships are available. For more information, please visit the school wiki at: http://q-bio.org/wiki/2017qbSS