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Welcome to the rglab wiki!
This wiki is seriously outdated! This being said, the information it contains might still be useful to some. We are in the process of moving this information to a new wiki platform. Stay tuned!
Research Overview
The RG lab develops computational tools ans statistical methods for the analyis of high throughput biological assays. In particular, we have been working on the following problems:
- Statistical methods for flow cytometry: Preprocessing, Sub-population identification (gating), Classification, and more
- DNA-protein interactions and histone positioning: analysis of ChIP-chip and ChIP-Seq
- Robust estimation/testing for differential gene expression
- Bayesian inference and stochastic computation: Model selection, Variable selection
This wiki is used to complement the rglab website and provides resources for our R and Bioconductor packages (e.g. tutorials, data, etc). This wiki is also used for the RG lab group and collaborators, as such, you won't be able to view some of the pages if you do not have a valid login. To navigate this wiki, you can use the side bar on the left or simply search for a particular topic (e.g. rMAT). Note that you need to hit search and not go.
News
If you really want to know what the latest changes are, click here. If you are too lazy to click, here is a brief overview of recent changes:
- Oct 12, 2010. We are providing mappability profiles and our script that we use to generate them, click here for more details.
- May 24, 2010. We have improve the documentation for installing GSL on windows machines, click here for more details.
We also provide binaries for both 32 and 64 bit windows.
