

Here, we address this gap by developing a software suite that enables scientists independent of their computational background to analyze their own complex data. However, the visualization, exploration and statistical analysis of these datasets can still be challenging for a majority of biological or medical researchers. In many cases the standard statistical analysis such as the identification of differentially expressed genes, metabolites or proteins is performed by a dedicated bioinformatics core unit or via easy-to-use desktop 5, 6, 7 or web interface tools 8 that have been developed to partly overcome this problem. Such experiments demand cooperative work between biologists with specialized knowledge in their field and computational researchers to unravel meaningful findings. In addition, the enrichment of post-translational modifications, including phosphorylations and ubiquitylations results in more than 40,000 modification sites, that can be achieved with moderate laboratory effort 1, 2, 3, 4. For example, with the latest generation of mass spectrometry instruments, it is possible to quantify a global proteome of more than 12,000 proteins within a day. Numerous techniques to generate omics-data have reached a level that makes them broadly applicable and powerful technologies for medical and biological researchers. The development of fast and robust instruments for unbiased high-throughput experiments allows scientists to routinely generate large-scale datasets.
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The open-source software is available for Windows and Mac OS ( ) and is accompanied by a detailed video tutorial series. Even though Instant Clue was developed with the omics-sciences in mind, users can analyze any kind of data from low to high dimensional data sets. Charts can be combined with high flexibility into a main figure template for direct usage in scientific publications. Additionally, it offers a comprehensive portfolio of statistical tools for systematic analysis such as dimensional reduction, (un)-supervised learning, clustering, multi-block (omics) integration and curve fitting. Instant Clue combines the power of visual and statistical analytics using a straight forward drag & drop approach making the software highly intuitive. To reduce this hurdle, we developed a software suite called Instant Clue that helps scientists to visually analyze data and to gain insights into biological processes from their high-dimensional dataset. However, for a majority of scientists the comprehensive analysis and visualization of their data goes beyond their expertise. The development of modern high-throughput instrumentation and improved core facility infrastructures leads to an accumulation of large amounts of scientific data.
