Structural Bioinformatics Training Workshop & Hackathon 2017
Application of Big Data Technology and 3D Visualization, San Diego Supercomputer Center, UC San Diego, June 26-28, 2017
This 3-day hands-on workshop introduces participants to the development of fast and scalable structural bioinformatics methods using state-of-the-art Big Data technologies and Web-GL 3D visualization (http://mmtf.rcsb.org). The first two days of the workshop combine lectures, hands-on applications, and programming sessions. On the third day participants apply the new technologies to their own projects.
This workshop is held at the University of California, San Diego and hosted by the Structural Bioinformatics Laboratory at SDSC in collaboration with the RCSB Protein Data Bank.
Workshop registration page: https://www.etouches.com/mmtf2017 (registration is closed)
A second workshop will be held early 2018.
For question about this workshop or to preregister for the second workshop:
Join the MMTF-Users mailing list
Follow us on Twitter @mmtf_spec
Workshop Outcomes
Software Installation
Install the following software
MacOS setup for GitHub and Eclipse
Windows setup for GitHub and Eclipse
How to Cite this Work
Bradley AR, Rose AS, Pavelka A, Valasatava Y, Duarte JM, Prlić A, Rose PW (2017) MMTF - an efficient file format for the transmission, visualization, and analysis of macromolecular structures. PLOS Computational Biology 13(6): e1005575. doi: 10.1371/journal.pcbi.1005575
Valasatava Y, Bradley AR, Rose AS, Duarte JM, Prlić A, Rose PW (2017) Towards an efficient compression of 3D coordinates of macromolecular structures. PLOS ONE 12(3): e0174846. doi: 10.1371/journal.pone.01748464
Rose AS, Bradley AR, Valasatava Y, Duarte JM, Prlić A, Rose PW (2016) Web-based molecular graphics for large complexes. In Proceedings of the 21st International Conference on Web3D Technology (Web3D '16). ACM, New York, NY, USA, 185-186. doi: 10.1145/2945292.2945324
Workshop Funding
This workshop was supported by the National Cancer Institute of the National Institutes of Health under Award Number U01CA198942. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.