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  4. Quality Management of High-Throughput Genotyping Data
Guideline

Quality Management of High-Throughput Genotyping Data

Editors: Michael Krawczak and Mathias Freudigmann
Publisher: Medizinisch Wissenschaftliche Verlagsgesellschaft

Table of Contents | Cite | Download Citation [in German]

Qualitätsmanagement
Genommedizin & Biobanken
Das Cover von Band 9 der TMF-Schriftenreihe

© Mockup designed by anthonyboyd / Freepik

For some time now, genetic association studies have been carried out relatively successfully using high-throughput methods. These methods are based on the use of highly integrated and extremely efficient microarray technologies, which, however, also come with several practical problems. Sources of error arise along the entire processing chain, meaning that the qualitative genotyping data generated is not 100% reliable.

This book now provides broadly agreed recommendations for the quality assurance of data generated during high-throughput genotyping. The questions addressed range from problems of validity and plausibility to the detection and avoidance of errors and requirements for data storage and data transfer. The authors have systematically examined, compared, and evaluated a wide variety of methods for processing and analyzing genotyping data from a quality perspective.

In addition to the book, the TMF provides a software tool and various working materials that can be downloaded in the product area of the TMF website.

Copyright and license terms for this product (No. P999201)

Please note the copyright conditions printed in the book.

Citation

Krawczak, M., Freudigmann, M., Hrsg. Qualitätsmanagement von Hochdurchsatz-Genotypisierungsdaten. 2011, Medizinisch Wissenschaftliche Verlagsgesellschaft, Berlin.

1st edition, 154 pages, December 2011
€ 39.95 [D], ISBN: 978-3-941468-58-0

Downloads [in German]

Anhang Size Table of Contents 93.96 KB ">Termin speichern
Anhang Size
Table of Contents 93.96 KB

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Table of Contents [in German]

  1. Das TMF-Projekt zum Qualitätsmanagement von Hochdurchsatz-Genotypisierungsdaten
  2. Affymetrix Genotypisierungs-Chips: Genotypbestimmung und Qualitätsfilter
  3. Nicht-kanonische Fluoreszenz-Cluster und Begleitinformation für Genotypisierungsdaten
  4. Etablierung wissenschaftlich fundierter Plausibilitätskriterien für Genotypisierungsdaten
  5. Fehlererkennung und Fehlerkorrektur bei Genotypisierungsdaten
  6. Daten- und Qualitätsmanagement bei der inhaltlichen Replikation von Genotypisierungsexperimenten
  7. Datenstrukturen, Speicherung und Transfer von Genotypisierungsdaten

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