ChIPMonk
| Function | A tool to visualise and analyse ChIP-on-chip array data |
|---|---|
| Language | Java |
| Requirements | A suitable Java Runtime Environment |
| Code Maturity | Legacy - this project is no longer being developed, but critical bug fixes will still be provided |
| Code Released | Yes, under GPL v2 or later. |
| Initial Contact | Simon Andrews |
Download Now |
|
ChIPMonk is a program to enable the visualisation and analysis of ChIP-on-chip data. It's main features are:
- Import of data from Nimblegen arrays
- Noramlisation of data (both per array and per probe)
- Various data plotting options to assess data quality and the effectiveness of normalisation
- Creation of data groups for visualisation and analysis
- Visualisation of data against an annotated genome.
- Statistical analysis of data to find probes of interest
- Creation of reports containing probes, data and genome annotation
Documentation
A copy of the ChIPMonk documentation is available for you to try before you buy (well download..).
Changelog
- 26-01-11: Version 1.2.3 released
-
- Fixed some parsing bugs to allow all current genome to be loaded
- Changed the OSX packaging to allow the use of a 64 bit JVM
- 30-01-09: Version 1.2.2 released
-
- Bug fix for annotated probe report
- 14-01-08: Version 1.2.1 released
-
- Bug fixes for genome parsing
- Interface bug fixes
- 03-10-07: Version 1.2 released
-
- Text import to support more formats
- Better error reporting
- Improved keyboard control
- 16-04-07: Version 1.1 released
-
- Wider range of filters available
- Anova analysis of multiple samples
- Better annotation of genes
- 23-01-07: Version 1.0 released
-
- Improved graphics in chromosome view
- Improved interactivity in long operations
- Numerous smaller bug fixes
- 20-12-06: Version 0.9rc3 released
-
- Added support for Nimblegen's new all_pair data format
- Added a features filter
- Numerous smaller bug fixes
- 19-10-06: Version 0.9rc2 released