Processing

We present here the set of Processing tools in Babelomics, including RNA-Seq normalization, expression microarray normalization, the edition of the data sets and data matrix pre-processing.

You will find the specific tutorial of each tool by clicking in its name.

• RNA-Seq Normalization. An important step before analyzing your RNA-Seq data in order to remove undesired biases is normalization. For further information about the normalization methods and the biases they correct please refer to Preprocessing for RNA Seq.

• Microarray Normalization. This is the first necessary step before data can be properly analyzed. Its goal is to standardize the measurements from all microarrays in the experiment into a common scale so that measurements across samples can be compared among them. More information about the normalization methods in Processing for arrays. Using Babelomics you can normalize the following microarray platforms and settings:

  • One channel: Affymetrix Expression (Tutorial Affymetrix Expression Microarray Normalization), Agilent(Tutorial Agilent One Color Microarray Normalization), Genepix(Tutorial Genepix One Color Microarray Normalization).
  • Two channels: Agilent(Tutorial Agilent Two Colors Microarray Normalization), Genepix(Tutorial Genepix Two Colors Microarray Normalization).

• Edit. Editing your data is the way to introduce information about the experimental design and the data factors into Babelomics.

• [Data matrix preprocessing](Tutorial Data matrix preprocessing). In this section you can find many utilities for data matrix transformation