![]() The principles behind this implementation are described in detail for two modules-the ‘ chromatogram comparison’ and ‘signal recognition’ modules. This data-handling bottleneck is resolved in Achroma. Specifically, existing software enables the data analysis from continuous-flow mixing systems monitoring enzyme– inhibitor reactions only manually and indirectly. Achroma was originally programmed to circumvent problems with mass spectrometric vendor software in the analysis of data from new experimental strategies. Analytically, Achroma software is a tool to handle typical and untypical mass spectrometric data. Finally, every module is embedded within Achroma as a small “stand alone” software application. ![]() Typically, each module delivers just one specific function to the user. ![]() Furthermore, Achroma has a modular structure and each module has its own MVC architecture. Achroma is based on a model-view-controller (MVC) software architecture. Achroma is a software tool for the analysis of spectrometric data it is our hope that explaining the software strategy and the working modules behind Achroma may give analysts a better understanding of how (bio-)informaticians work out software solutions, thus facilitating the interaction between these two expert groups. Bioinformaticians typically program these software tools however, analysts and bioinformaticians have distinct views on these data. Today, (bio-)analytical researchers use various software tools for improving data analysis and the evaluation of their experimental results.
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