SLAS

Applied IT For The Laboratory Short Course:Resource Page

From LabAutopedia

Jump to: navigation, search

Resource page for the "Applied IT For The Laboratory" short course

To be taught at the SLAS 2012 Annual Conference, February 2012

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:

  1. Representing information
  2. Data mining
  3. Reporting and transformation
  4. Scientific data management
  5. Data archiving

Section 2: Software technologies

Chapters:

  1. Configuration management
  2. Component software / architectures
  3. Open source software models
  4. 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:

  1. Architectures
  2. Clustering
  3. Communications
  4. Networking
  5. Web technologies

Section 4: Additional topics

  1. Supercomputing with a PlayStation 3

Instructors

Burhard Schaefer
BSSN Software

Torsten Staab
White Oak Technologies

Related LabAutopedia Articles

 

 

List of programming and computer science terms Statistical Design of Experiements Approach