posted by organizer: orlov_yury || 438 views || tracked by 1 users: [display]

BRICS-biology 2016 : Symposium of BRICS countries on computer systems biology

FacebookTwitterLinkedInGoogle

Link: http://lcg.nsu.ru/en/brics/
 
When Sep 1, 2016 - Sep 2, 2016
Where Novosibirsk, Russia
Submission Deadline TBD
Categories    brics   systems biology   genomics   international science projects
 

Call For Papers

International Symposium of scientists from BRICS countries on systems and computational biology (Chinese and Indian universities), 1-2 September 2016, Novosibirsk, Russia.
The meeting is associated with the international multi-conference BGRS\SB-2016 on computer systems biology (free participation in the frames of the multiconference)
(http://conf.bionet.nsc.ru/bgrssb2016/)
The event will be hold by Novosibirsk State University
It includes Sino-Russian Network on computer omics (Zhejiang University)
http://lcg.nsu.ru/en/brics/
contacts:
Prof. Yuriy Orlov
orlov AT bionet.nsc.ru

Laboratory of computer genomics
Department of Life Sciences
Novosibirsk State University
Prirogova, 2
Novosibirsk, Russia

Related Resources

OpenSuCo @ ISC HPC 2017   2017 International Workshop on Open Source Supercomputing
SASB 2017   The Eighth International Workshop on Static Analysis in Systems Biology
IPMU 2018   17th Information Processing and Management of Uncertainty in Knowledge-Based Systems Conference
ACIIDS 2018   10th Asian Conference on Intelligent Information and Database Systems
COMIT 2017   International Conference on Computer Science and Information Technology
EJBLS - 3 2017   European Journal of Biomedical and Life Sciences 3/2017
ICPR 2018   24th International Conference on Pattern Recognition
ICBEC 2017   2017 8th International Conference on Biology, Environment and Chemistry (ICBEC 2017)
ICCBB 2017   2017 International Conference on Computational Biology and Bioinformatics (ICCBB 2017)--Ei Compendex, Scopus and CPCI
IEEE TETC SI 2017   IEEE Transactions on Emerging Topics in Computing, Special Issue on Scholarly Big Data