Do you know how correct and complete your data really is?
Easily score the quality of your 2D gel data
Gel IQ is a light-weight application that allows you to upload the output from your 2D gel image analysis software and calculate a score for how correct and complete it is.
It is compatible with all major software packages including Decyder, PDQuest, ImageMaster, Progenesis, REDFIN, SameSpots, and Delta2D.
Some background information regarding Gel IQSo far, there has been no method available to the proteomic community for assessing the correctness of data that is generated from 2D gel image analysis. However, a metric for correctness, and a way of practically applying this metric on image analysis data is highly relevant to the field of 2D gel based proteomics, as it impacts the validity of downstream statistical results and conclusions on protein expression changes.
Especially as part of the effort to increase reproducibility of proteomic experiments, it is essential to first ensure that the data we are aiming to reproduce is correct. Otherwise, we may just end up reliably reproducing errors.
An initiative started by Ludesi and supported by several independent proteomic research groups aimed to address this shortcoming by first creating a reliable metric of data quality and then developing a free software tool that is freely accessible to the community. The outcome of this initiative is the Combined Correctness metric and the Gel IQ software application.
Criteria for the Gel IQ development
The criteria behind the development for Gel IQ where:
- Facilitate a quality control of data from 2D gel image analysis
- Be independent of software used for the 2D gel image analysis
- Be free for the proteomics community to use
More about the Combined Correctness Metric
Gel IQ is based on the Combined Correctness metric, which has been developed in collaboration with the following research groups:
JHU Bayview Proteomics Center, Johns Hopkins University
Vertex Pharmaceuticals Inc.
DSM Nutritional Products Ltd
Scheie Eye Institute, FM Kirby Center for Molecular Ophthalmology, University of Pennsylvania
Institute of Animal Physiology and Genetics, Academy of Sciences of the Czech Republic
If you would like to know more about the Combined Correctness metric, jump to the Combined Correcntess page.
Supported Operating Systems: Windows 7 (both 64 bit and 32 bit), Windows Vista (both 64 bit and 32 bit); Windows XP (SP2), Windows Server 2003 (SP1); Windows Server 2008.
Processor: 2 GHz Pentium processor or equivalent (Recommended)
RAM: 1024 MB (Minimum)
Hard Disk: Depends on project size and number of projects. 500 MB free space or more may be required.
Links relevant to Gel IQ:
Example of high quality 2D gel image analysis:
Example of low quality 2D gel image analysis: