Difference between revisions of "Tutorials"
| Line 17: | Line 17: | ||
===[[Tutorial - Data | Tutorial Data]]=== | ===[[Tutorial - Data | Tutorial Data]]=== | ||
| + | Downloadable data used in the tutorials. | ||
===[[Tutorial - Data Subsets | Data Subsets]]=== | ===[[Tutorial - Data Subsets | Data Subsets]]=== | ||
| − | + | Shows how subsets of both markers and arrays can be defined for targeted analysis. | |
===[[Tutorial - Projects and Data Files | Projects and Data Files]]=== | ===[[Tutorial - Projects and Data Files | Projects and Data Files]]=== | ||
| − | Creating projects, loading microarray data files, merging into one | + | Creating projects, loading microarray data files, merging multiple datasets into one, and saving. |
===[[Tutorial - Project Details | Project Details]]=== | ===[[Tutorial - Project Details | Project Details]]=== | ||
| Line 28: | Line 29: | ||
===[[Tutorial - Local Data Files | Local Data Files]]=== | ===[[Tutorial - Local Data Files | Local Data Files]]=== | ||
| − | + | How to load a data file from disk. | |
===[[Tutorial - Remote Data Sources | Remote Data Sources (caArray)]]=== | ===[[Tutorial - Remote Data Sources | Remote Data Sources (caArray)]]=== | ||
| + | How to download microarray data from caArray. | ||
| + | ===[[Tutorial - Viewing a Microarray Dataset | Viewing a Microarray Dataset]]=== | ||
| + | Survey of geWorkbench visualiztion tools for microarray data. | ||
| − | ===[[Tutorial - | + | ===[[Tutorial - Filtering and Normalizing | Filtering and Normalizing]]=== |
| − | + | geWorkbench provides numerous methods for filtering and normalizing microarray data. | |
==Individual analysis and visualization components== | ==Individual analysis and visualization components== | ||
| Line 45: | Line 49: | ||
===[[Tutorial - Cellular Networks KnowledgeBase | Cellular Networks KnowledgeBase]]=== | ===[[Tutorial - Cellular Networks KnowledgeBase | Cellular Networks KnowledgeBase]]=== | ||
| + | The CNKB component queries a database of protein-protein and protein-DNA interactions maintained at Columbia University. | ||
| Line 63: | Line 68: | ||
View and manipulate a histogram of the distribution of expression values for each array. | View and manipulate a histogram of the distribution of expression values for each array. | ||
| − | |||
| − | |||
===[[Tutorial - GO Term Enrichment | GO Term Enrichment]]=== | ===[[Tutorial - GO Term Enrichment | GO Term Enrichment]]=== | ||
Revision as of 13:10, 27 July 2009
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 and in the Online Help section of the program.
All data sets used in the tutorials are available from the download area of our site.
Using the basic framework of geWorkbench: Projects, files and data
Getting Started
Obtaining and installing geWorkbench. Requirements.
Basics
A brief introduction to the use of geWorkbench.
Tutorial Data
Downloadable data used in the tutorials.
Data Subsets
Shows how subsets of both markers and arrays can be defined for targeted analysis.
Projects and Data Files
Creating projects, loading microarray data files, merging multiple datasets into one, and saving.
Project Details
Local Data Files
How to load a data file from disk.
Remote Data Sources (caArray)
How to download microarray data from caArray.
Viewing a Microarray Dataset
Survey of geWorkbench visualiztion tools for microarray data.
Filtering and Normalizing
geWorkbench provides numerous methods for filtering and normalizing microarray data.
Individual analysis and visualization components
ARACNE
Formal method for reverse Engineering - microarray datasets can be analyzed for interactions between genes. Now includes new ARACNe2, which implements the much faster Adaptive Partitioning algorithm and accurate parameter estimation.
BLAST
Submits BLAST jobs to the NCBI server and displays and allows further interaction with alignment results.
Cellular Networks KnowledgeBase
The CNKB component queries a database of protein-protein and protein-DNA interactions maintained at Columbia University.
Classification
Clustering
Data can be clustered using a fast hierarchical clustering routine, as well as SOMs.
Cytoscape
Cytoscape is used to display network interaction diagrams (from adjacency matrices). It features two-way interaction with the geWorkbench Markers component.
Differential Expression
Several variants of the t-test are available.
Expression Value Distribution
View and manipulate a histogram of the distribution of expression values for each array.
GO Term Enrichment
Not in current releases.
Jmol
Jmol is a molecular structure viewer for viewing PDB format files.
Marker Annotations
Marker annotations can be retrieved, including BioCarta pathway diagrams.
MatrixREDUCE
MINDy
Pattern Discovery
Upstream seqeunce can be analyzed for conserved sequence patterns.
Promoter Analysis
Search a set of sequences against a promoter database.
Sequence Retrieval
Genomic sequences for markers can be retrieved for further analysis.
Coming Soon
Tutorials for a number of components are under development, including:
- ANOVA
- caGrid v1.3 - How the geWorkbench grid services are set up using caTransfer.
- Expression Profiles
- Sequence (Viewer)
- Marker Annotations - will be updated to add Cancer Gene Index integration.
Gene Pattern components:
- PCA (GenePattern) - Analysis and Viewer
- K-nearest neighbors (GenePattern)
- SVM 3.0 (GenePattern) - Analysis and Viewer - include, we need to develop online help and tutorial (Aris).
- WV - Weighted Voting (GenePattern)
