Events - Seminars

Jiro Doke, Ph.D. Senior Application Engineer

Saket Kharsikar, M.S. Application Engineer

Data Analysis with MATLAB (MATLAB Overview)

This is an overview for the MATLAB environment and demonstrates a typical engineering workflow of solving a technical problem. It is suitable for both new and existing users. Some of the concepts covered will be:

• Importing data from various sources

• Interactively performing analyses

• Automating analysis routines via automatic m-code generation

• Generating reports

Parallel Computing with MATLAB

This is an introduction to parallel and distributed computing in MATLAB. It addresses ways you can utilize additional resources (multi-core computers and/or network of computers) to deal with long running computations or large data sets in MATLAB.

• Overview of the Parallel Computing Toolbox

• Using additional resources for speeding up long running computations

• Distributing large data across workers

• Scaling up from single-core to multi-core to clusters

Data Analysis with MATLAB in Life Sciences

• Brief overview of MATLAB, demonstrating data access and visualization

Overview of Bioinformatics Toolbox

• Sequence analysis

• Connectivity to different data sources

• Microarray and Mass Spectrometry

• Advanced topics- Graph Theory, Gene Ontology, and Machine Learning

Overview of SimBiology

• Modeling and simulating biochemical pathways

• Advanced analysis tasks, such as parameter estimation and sensitivity analysis