![]() |
ArrayTrack |
| Microarray Gene Expression Data | |
| ArrayTrack provides an integrated solution for managing, analyzing, and interpreting microarray gene expression data. ArrayTrack is MIAME (Minimum Information About A Microarray Experiment) compliant for microarray data and experimental parameters associated with pharmaco- or toxico- genomics studies. ArrayTrack includes functional information about genes, proteins and pathways for biological interpretation. With ArrayTrack you can apply statistical methods to microarray data to determine differentially expressed genes. Gene lists can be linked to pathways and gene ontologies for functional analysis of expressed genes. |
|
| Usage | |
| Three steps are required to run ArrayTrack: | |
| 1) ArrayTrack requires that Java 5 or greater be installed on your workstation. Java may be downloaded from the Java web site. | |
| 2) You must set up an account (free) to access and use ArrayTrack. Please contact Richard Casey below to get an account. | |
| 3) After installing Java and setting up an account, you can run ArrayTrack by going to the local ArrayTrack webpage and choosing "Run ArrayTrack". | |
| Documents | |
| Documentation for ArrayTrack is available in the documents webpage. | |
| Getting Started | |
| To begin, you will need to create an experiment group and import the data. Batch import is highly recommended. Details about importing data can be found in Tutorial 9A. After importing (and normalizing) the data, statistical testing for differential expression is performed. Details for comparing two groups can be found in Tutorial 1 and information for comparing multiple groups can be found in Tutorial 2. Tutorial 1 also covers pathway analysis and gene annotation. ArrayTrack tutorials are available online. |
|
| ArrayTrack Website | |
| For more information about the ArrayTrack application, visit the ArrayTrack vendor website | |
| For information on setting up ArrayTrack accounts contact: | |
| Richard Casey, PhD | |
| Ph: 970-491-8568 | |
| Cell: 970-980-5975 | |
| Email: richard.casey@colostate.edu | |
