Skip navigation

Bookboon.com Download von kostenlosen eBooks für Studium und Beruf

Choose a category

Large Scale Data Handling in Biology

Large Scale Data Handling in Biology
3,7 (13 Bewertungen)
ISBN: 978-87-7681-555-4
1. Auflage
Seiten : 55
Preis: Kostenlos

KOSTENLOS downloaden in 4 einfachen Schritten...

Um unsere Bücher herunterzuladen oder Videos anzusehen, benötigen Sie einen Browser, der JavaScript zulässt.
Nachdem Sie Ihre Email angegeben haben, schicken wir Ihnen eine Bestätigungsmail. Durch Klicken auf den dort angezeigten Link erhalten Sie unseren Newsletter. Wir geben Ihre Daten nicht an eine dritte Partei weiter. Mehr

This is a Premium eBook - get it free for 30 days

You can also read this in Bookboon.com Premium

Beschreibung

Data Handling in Biology--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline.

300+ Business books exclusively in our Premium eReader

  • No adverts
  • Advanced features
  • Personal library
More about Premium

Buy this eBook

Buy now

Subscribe to all 800+ eBooks

Start free trial 30 day FREE trial

Über das Buch

  1. Beschreibung
  2. Inhalt
  3. Über den Autor

Beschreibung

Data Handling in Biology--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline. Written in a clear, engaging style, Large Scale Data Handling in Biology is for scientists and students who are learning computational approaches to biology. The book covers the data storage system, computational approaches to biological problems, an introduction to workflow systems, data mining, data visualization, and tips for tailoring existing data analysis software to individual research needs.

Inhalt

Large Scale Data Handling in Biology

1. What to Do with All the Data?

2. Data Storage, Backup and Archiving Architecture
2.1 Organization of HCS Informatics Infrastructure
2.2 Hardware and Network Infrastructure
2.3 Do we need robust Data Movers (DM) in High Content Screening for data-flow automation

3. Workflow Systems
3.1 Why is a workflow system important
3.2 Visualization in workflow systems
3.3 Architecture of workflow systems
3.4 Public Domain Workflow Systems
3.5 Commercial Workflow Systems
3.6 Summary and Vision

4. Database Development: Laboratory Information Management Systems and Public Databases
4.1 What Type of HCS Data Have to Be Managed in the Database
4.2 Database Schema
4.3 LIMS Architecture
4.4 LIMS and User Management System
4.5 Type of Users
4.6 Integration and Public Databases

References

Über den Autor

Karol Kozak has been influential in the development of InMemory Image Databases for Life Science and data mining tools for High Throughput, High Content Screening (HCS) over the few years working at Max Planck Institute of Molecular Cell Biology and Genetic in Dresden (Germany) and ETH Zurich (Switzerland). Currently, he is in charge of Biomedical Computer Science at Fraunhofer Society and Uniklinikum Dresden. He plays a leading role in defining the strategy for organizing management large scale biomedical image data. In addition, during PhD time Karol Kozak became an expert in statistical pattern recognition applied to large scale screening data.

This website uses cookies to improve user experience. By using our website you consent to all cookies in accordance with EU regulation.