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Advanced high-throughput technologies have been developed and extensively used in the last decades (microarrays since the mid-1980s (Schena, Shalon, Davis, & Brown, 1995) and Next Generation Sequencing (NGS) (Goodwin, McPherson, & McCombie, 2016) since the mid-2000s). Mass spectrometry technologies were originally invented almost 100 years ago and further developed during the 1990s (Glish & Vachet, 2003). All these technologies and others are being routinely used by Bio-medical (Bio-Med) scientists for production of high-throughput data. However, currently, it is very difficult for Bio-Med researchers with no computational skills to analyze their own data. Various free, online and user-friendly tools have been developed and are routinely used for gene expression and proteomics data analysis. For example, Expander (Ulitsky et al., 2010), Chipster (Kallio et al., 2011), SAM (Tusher, Tibshirani, & Chu, 2001), Limma (Ritchie et al., 2015), DESeq (Love, Huber, & Anders, 2014), Morpheus (http://www.weizmann.ac.il/complex/compphys/software/geview/. It includes a convenient “help” menu and an example test data (Teuffel et al., 2004).