Analysis of gene expression/metabolite data
Carsten Daub, Sebastian Kloska, and Joachim Selbig
Max Planck Society
Bioinformatics - Central Infrastructure Group
Within this system you are able to upload a dataset containing
gene expression and/or metabolite data.
Each uploaded dataset is assigned an 8-digit ID.
This file ID is used to access your dataset for analysis.
The MetaGeneAlyse server calculates the distance between each gene in a dataset with every other gene in pairwise comparisons.
For N genes, a so-called distance matrix
of size N x N is calculated based on one of a set of similarity measures.
The matrix is symmetric and the diagonal elements are zero. This
matrix also gets an ID and can be downloaded or one of a set of
cluster algorithms can be applied to the matrix.
The result of the clustering comes in the form of a dendrogram and
can be displayed in different formats. Optionally the dendrogram can
be cut at a certain hight. The associations of genes to clusters
are displayed in a table.
The k-means clustering algorithm can also be applied to the uploaded dataset.