The CellML language is based on the XML markup language- a computer language made for illustrating modell structures. CellML is being developed by the Bioengineering Institute at the University of Auckland and affiliated research groups. The purpose of CellML is to store and exchange computer-based mathematical models. CellML allows scientists to share models even if they are using different model-building software. ... [Information of the supplier]
NRCAM, the National Resource for Cell Analysis and Modeling is developing a unique software modeling environment, the Virtual Cell, for quantitative cell biological research. Approaches in computational cell biology are coupled with high resolution light microscopy to facilitate the interplay between experimental manipulation and computational simulation of specific cellular functions that can range from simple molecular motors to tissue-wide process. The Virtual Cell is deployed as a distributed application that is used over the Internet. It is freely accessible to all members of the scientific community. The Virtual Cell has been specifically designed to be a tool for a wide range of scientists, from experimental cell biologists to theoretical biophysicists. Likewise the creation of models can range from the simple, to evaluate hypotheses or to interpret experimental data, to complex multi-layered models used to probe the predicted behavior of complex, highly non-linear systems. Such models can be based on both experimental data and purely theoretical assumptions. ... [Information of the supplier]
A collaboration between Cell Press, UCSF, and MIT, this conference brings together leading thinkers in technology, biology, and data science for an innovative two and a half day meeting dedicated to the burgeoning research areas where these three fields are intersecting. The meeting will be held from October 9–11, 2016 at The Claremont Hotel Club and Spa in Berkeley, California. Fostering collaboration and cross-disciplinary discussions will be a key theme, so in addition to short scientific talks, attendees will be treated to on-stage interviews, panel discussions, and plenty of in-person social and networking opportunities with each other and the invited speakers. Sessions will focus on technologies for multifaceted measurement of biological systems, computational data analysis and integration, understanding molecular mechanisms, perturbing and engineering biology, applications to disease and medicine, and commercial applications. Topics ranging from systems and synthetic biology, digital healthcare, cancer, genomics, immunology, biological engineering, microbiology, and cell biology will be covered, but anyone interested in interdisciplinary life sciences research and its applications should attend. ... [Information of the supplier]
