Table des matières

Quality Control of Gene Expression Data

Introduction

High-throughput gene expression platforms are powerful techniques but are quite susceptible to variations, either be from biological or technical sources. This is a non-exhaustive list of possible variation sources:

Biological Variability

Technical Variability

Because of this, it is best to verify before hand the quality of the data before getting into the normalization/summeraization process and the following analysis process. Replicates showing excessive variations will induce problems afterward, creating excessive noise in the data.

Mechanically-spotted arrays: quality control

GUI methods

CLI methods

Affymetrix: Quality Control

GUI Methods

CLI methods

Illumina: Quality Control

CLI methods