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Normalyzer: A Tool for Rapid Evaluation of Normalization Methods for Omics Data Sets

In English

Författare

Summary, in English

High-throughput omics data often contain systematic biases introduced during various steps of sample processing and data generation. As the source of these biases is usually unknown, it is difficult to select an optimal normalization method for a given data set. To facilitate this process, we introduce the open-source tool "Normalyzer". It normalizes the data with 12 different normalization methods and generates a report with several quantitative and qualitative plots for comparative evaluation of different methods. The usefulness of Normalyzer is demonstrated with three different case studies from quantitative proteomics and transcriptomics. The results from these case studies show that the choice of normalization method strongly influences the outcome of downstream quantitative comparisons. Normalyzer is an R package and can be used locally or through the online implementation at http://quantitativeproteomics.org/normalyzer.

Publiceringsår

2014

Språk

Engelska

Sidor

3114-3120

Publikation/Tidskrift/Serie

Journal of Proteome Research

Volym

13

Issue

6

Dokumenttyp

Artikel i tidskrift

Förlag

The American Chemical Society (ACS)

Ämne

  • Immunology in the medical area

Nyckelord

  • normalization
  • preprocessing
  • label-free
  • mass spectrometry
  • microarray
  • proteomics
  • transcriptomics

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1535-3893