geWorkbench

The tutorials shown on this page provide a quick introduction to the most important features of geWorkbench. Additional information can be found in the User Guide (in preparation) and in the Online Help section of the program.

Getting Started

Obtaining and installing geWorkbench. Requirements.

Overview

A brief introduction to the use of geWorkbench.

Loading and Saving Data

Loading microarray data files, merging into one dataset, and saving.

Data Subsets

Subsets of both markers and arrays can be defined for targeted analysis.

Viewing a Microarray Dataset

Survey of geWorkbench visusaliztion tools for microarray data.

Filtering and Normalizing

geWorkbench provides numerous methods for filtering and normalizing microarray data.

Differential Expression

Several variants of the t-test are available.

Clustering

Data can be clustered using a fast hierarchical clustering routine, as well as SOMs.

Marker Annotations

Marker annotations can be retrieved, including BioCarta pathway diagrams.

Sequence Retrieval

Genomic sequences for markers can be retrieved for further analysis.

Pattern Discovery

Upstream seqeunce can be analyzed for conserved sequence patterns.

Promoter Analysis

Search a set of sequences against a promoter database.

Reverse Engineering

Microarray datasets can be analyzed for interactions between markers.

GO Term Enrichment

Determine if particluar Gene Ontology terms are overrepresented in a data subset.

BLAST

geWorkbench can run BLAST jobs on the JCSB cluster.

Synteny

Compare genomic sequence from two different species.

(NOTE: This section of our web site is under active development. More tutorials are forthcoming, covering many usage scenarios for geWorkbench.)