A Hands-on
Introduction to MATLAB for Bioinformatics &
Computational Biology
Hosted by the MathWorks, the UTSA Department of Computer Science, and
CBI.
This workshop is
free
and open to the public.
Presented by experts from
Mathworks.
Registration for this workshop is now
closed.
Date: May
20, 2008
Time: 9:00
am - 5:00 pm
Place:
Science Building (SB) 3.02.02
UTSA 1604 campus.
Agenda
1.
Introduction to Data Analysis with MATLAB
- Import data from
common file formats (Excel, .csv) and databases
- Easy visualization
and manipulation of data
- Automate manual
tasks via auto-generated scripts
- Report generation
with a single click
- Develop and deploy
customized Graphical User Interfaces (GUI)
2.
Introduction to Microarray Data Analysis (Bioinformatics toolbox)
- Import data from
common file formats – Affymetrix, Illumina, GEO
- Pre-process raw
data using various normalization and filtering techniques
- Overview of
visualization and data mining features
- Hierarchical and
K-means Clustering, Support Vector Machines (SVM), Principal Component
Analysis (PCA)
3.
Introduction to Sequence Analysis Techniques (Bioinformatics toolbox)
- Import data from
web-based databases (EMBL, NCBI, GeneBank)
- Perform pair-wise
and multiple sequence alignments
- Create and
visualize phylogenetic trees
4.
Processing and Analysis of Mass Spectroscopy Data (Bioinformatics
toolbox)
- Overview of various spectra
processing techniques
- Baseline removal
- Profile alignment
- Smoothing
- Peak detection
5.
Modeling Biochemical Pathways with SimBiology
- Build and
configure reaction pathways using SimBiology’s graphical
interface
- Simulate and
analyze pathway models – sensitivity analysis, parameter
scan, parameter estimation
