We understand the importance of choosing the right software solution for your 2D gel and blot analyses. Before making a purchase decision, you want to make sure that the software works for you, with your images. You can therefore download a fully functional trial version of Melanie, to evaluate the application and discover how it will benefit your research.

Looking for software to analyze your 2D gel or blot data? But not quite sure which of our Melanie modules is most appropriate for your application? It’s all about your research question – quantitative or qualitative – and the method used to run your experiment. Here’s a guide to find your ideal solution.

Melanie allows you to export a table with all spot data, also called project data. You can use the exported file for further analysis of your experiment with third party software. Learn how and what data can be exported, in what format and what export options exist.

You can find the Coverage Tutorial files in the folder Tutorials in the software installation directory. They come from a 2D Differential In Blot Electrophoresis (2D-DIBE) experiment aimed at assessing coverage, i.e. the percentage of immunodetection that an antibody reagent offers for a population of HCPs.

Melanie has a few handy keyboard shortcuts to help you save time and effort. Here’s a list of the shortcuts.

You can find the DIGE Tutorial files in the folder Tutorials in the software installation directory. They come from an experiment that aimed to study protein expression changes between control and treated groups of bacterial cultures.

You can find the Non-DIGE Tutorial files in the folder Tutorials in the software installation directory. They come from an experiment that aimed to study protein expression changes between four conditions.

For each spot on an image, Melanie computes the following quantification measures, based on the calibrated pixel gray values: area, background, intensity, volume, volume ratio and relative volume.

Melanie supports both node-locked and floating (network) licenses. This article illustrates and explains the two options, to help you choose the most appropriate license for your research environment.

Relevant expression changes in 2D gel electrophoresis experiments are often obscured by systematic experimental variation such as differences in sample preparation, sample loading, staining/labeling or image acquisition. These sources of variation will affect different 2D gels or images to different extents, complicating the comparison of protein abundance across 2D images. The process of compensating for these variations – unrelated to the biological expression changes – is called normalization.