Courses

Introduction to Bioinformatics and Data Mining
Introduction to Biotechnology and the Pharmaceutical Industry
Statistics for Research and Product Development
Statistics for Clinical Trials Staff
Protein 3D structures: analysis, prediction, and structure-function relationship
Advanced topics in bioinformatics

1. Introduction to Bioinformatics and Data Mining

With this course you will get a thorough and practical overview of the bioinformatics problems and solutions. You will get a practical guide to bioinformatics data mining, understand the benefits and limitations of major bioinformatics tools, and learn how to use basic bioinformatics software and databases. You will learn about

Key problems addressed in bioinformatics
Key computational technologies
Major online databases
Main sequence analysis tools
Main structure modeling tools
Main microarray analysis tools
Step-by-step examples of data mining
Landscape of the commercial bioinformatics market and industry
Latest academic research in bioinformatics

8-hour course: $2000. Maximum class size 20 students.

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Are you a sales rep, manager, engineer, technician or computer scientist who could do your job better with more knowledge of biotechnology and the pharmaceutical industry? This course will help you learn key concepts in biotechnology and pharma R&D:

Cell and molecular biology
Widely-used laboratory methods
Genomics, proteomics, microarrays & expression analysis
Genetics of disease
Bioinformatics
Biotech patents
Pharmaceutical development & FDA approval
Trends in biotechnology

10-hour course. $2000. Maximum class size 20 students.

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3. Statistics for Research and Product Development

This course gives you a gentle introduction to statistical methods. With these methods, you can interpret your data, perform more efficient experiments, improve quality, get results faster and cheaper with smaller sample sizes, and data mine in your existing databases.

You will learn how to:

Describe data and detect unusual values
Compare treatment effects
Interpret p-values
Detect and quantify trends
Detect and measure association and correlation
Identify key variables that explain different outcomes
Choose appropriate statistical tests and software
Topics include probability, correlation, regression, paired and unpaired t-tests, analysis of variance, discriminant analysis and cluster analysis.

10-hour course. $2000. Maximum class size 20 students.

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4. Statistics for Clinical Trials Staff

Are you a CRA, CDA, programmer, or other clinical trials team member? Do you wish you understood what the statisticians do with the data? In this course, you will learn the key statistical ideas in clinical trials, and how your work affects the results of statistical analyses. You will learn:

Statistics in protocol design
Intent-to-treat and protocol violations
How data errors affect statistical analyses and FDA approval
How to detect unusual values
The most-used clinical trial statistics:
t-tests and analysis of variance
tests of association
survival analysis
p-values and statistical significance
FDA review of clinical trial statistics

4-hour course. $1000. Maximum class size 20 students.

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5. Protein 3D structures: analysis, prediction, and structure-function relationship

With this course you will learn about the challenges and existing solutions in protein structure analysis, modeling, and function. You will gain a basic fundamental knowledge about protein physics, get a practical guide to the main structure and function prediction algorithms and, and learn how to use structure information in data mining.

Basics of protein physics
Representations of protein structure
Databases, visualization and analysis of protein structures
Structure prediction using homology modeling
Structure prediction using threading
Algorithms for lucidation of function from structures
Using structure information in data mining

4-hour course. $1000. Maximum class size 20 students.

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6. Advanced topics in bioinformatics

Learn how to achieve the extra mile in discovery by using the most cutting-edge bioinformatics technology. This constantly-updated course will teach you the latest in bioinformatics algorithms and applications and broaden your tool set for novel discoveries. In the current version, you will learn about:

Overview of latest trend in bioinformatics research
Whole-genome analysis--databases and tools
Comparative Genomics--algorithms and applications
Four non-homology based approaches for function prediction

8-hour course. $2000. Maximum class size 20 students.

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