Free online courses from Stanford's Coursera, MIT's MITx, and Udacity
Class Central Summary of free online courses from Stanford's Coursera , MIT's MITx , and Udacity UPCOMING 15 COURSERA COURSE(S) 1 MITX
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WORKSHOP- COMPUTATIONAL APPROACHES IN BIOLOGICAL DATA MINING
A Workshop on Computational Approaches in Biological Data mining is being organised by the Unit Of Simulation and Informatics, Indian Agricultural Research Institute, New Delhi. The topics to be discussed are:- Introduction to Biological databases Biological data mining Concept and application of machine learning techniques in bioinformatics Tools and techniques for bio-molecular prediction Future directions in biological data mining. Dates:- March 23rd-25th, 2011. Application deadline:- February 25th, 2011. Do you wish to know more?
Protein Structure and Drug Discovery Workshop
"Protein Structure and Drug Discovery" Workshop – Sept 30th to Oct 1st 2010 La Jolla, CA. Please join us at MolSoft's ( www.molsoft.com ) "Protein Structure and Drug Design" Workshop in La Jolla, California USA. For more information and a registration form see: www.molsoft.com/training.html This workshop is suitable for chemists and biologists who would like to learn more about computational drug discovery and bioinformatics. No prior knowledge in this field is required to participate. The workshop is presented by Prof. Ruben Abagyan (University of California San Diego) and Dr. Maxim Totrov (MolSoft). Price: $349 (Academics) $749 (Commercial) The workshops will consist of lectures, demonstrations, and "hands-on" computational experiments and will cover the following topics: - How To Display Fully Interactive 3D Molecules in PowerPoint and the Web - Sequence and Protein Structure Analysis - Protein Modeling and Simulations - Structure...
Computational intelligence approaches for pattern discovery in biological systems
Natural Selection, Inc. is a very interesting find that i came across after reading through a publication in Oxford journals. This company has unique expertise in computational intelligence applied to bioinformatics problems. Led by Dr. Gary Fogel. The bioinformatics team there has developed a suite of computational tools for small molecule lead discovery and optimization. Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) approaches such as artificial neural networks, fuzzy systems and evolutionary computation are being used with increasing frequency to contend with this problem, in light of noise, non-linearity and temporal dynamics in the data. Such methods can be used to develop robust models of processes either on their own or in combination with standard statistical approaches. This is especially true for database mining, where modeling is a key...