User:BurkhardSchaefer/AppliedITForTheLaboratory
From LabAutopedia
Resource page for the "Applied IT For The Laboratory" short course
To be taught at the ALA LabAutomation conference, January 2010
This short course provides decision makers and practitioners from bio-pharma, healthcare, and academia with a comprehensive overview of IT topics and trends in laboratory automation, data management, and systems integration.
Contents |
Course Outline
Section 1: Data management
This section covers the whole life cycle of analytical data. Initially, we discuss methods for representing information and efficiently storing it. The next chapter covers using data mining to facilitate extraction of knowledge from raw data. The results can then be reported to the user or transformed into other formats for further processing. Chapter 4 describes scientific data management and how to use it in a laboratory. The section closes with a discussion of long-term archiving.
Chapters:
- Representing information
- Data mining
- Reporting and transformation
- Scientific data management
- Data archiving
Section 2: Software technologies
Chapters:
- Configuration management
- Component software / architectures
- Open source software models
- Standards for the laboratory
Section 3: Distributed computing
Today's bioinformatics applications require more and more computing power. Additionally, the amount of data captured from certain analytical techniques starts exceeding the capacities of a single computer system. Distributed computing is an option to resolve this problem. This section introduces the options for using distributed computing tools in the laboratory.
Chapters:
- Architectures
- Clustering
- Communications
- Networking
- Web technologies
Section 4: Additional topics
- Supercomputing with a PlayStation 3
Instructor
Burhard Schaefer
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