What is MetaLab Software in MATLAB ?

MetaLab is a completely automated software platform that enables a unified data-processing workflow for metaproteomics. The sample-specific database generation tool can be particularly useful for searching peptides against large protein databases. The primary life science literature is dense with data, but methodically quantitative attempts to arrange this data are uncommon. Unlike clinical research, where systematic reviews and meta-analyses aid consolidation efforts, the basic sciences rarely employ rigorous quantitative methodologies. Instead, this module aims to provide a brief theoretical framework, computational tools, and a process design, as well as a practical example for doing systematic or quick reviews of fundamental research followed by meta-analysis. Traditional meta-analytic approaches are expanded to incorporate the entire research methodology and procedures. The emphasis is on dealing with heterogeneity inherent in research utilizing various experimental methods and models. For example, familiarise yourself with MetaLab, a meta-analytic toolbox created in MATLAB R2016b that implements the approaches specified in this methodology and is available at the Git repository for academics and statisticians. 

A fast evaluation of intracellular ATP concentrations in osteoblasts is used as an example throughout the text to highlight the process, intermediate, and final outputs of basic research meta-analyses. A thorough study of mechanically-stimulated ATP release kinetics in mammalian cells is also used to show the properties of more enormous datasets. In this, the criteria must be followed to assure the validity of the results, as well as exploratory strategies for identifying significant experimental and biological variables. Thus, meta-analyses give educated estimates for physical outcomes and the range of their variability, which are essential for hypothesis formulation and evidence-driven translational study design, as well as the construction of computational models. 

References 

Mikolajewicz, Nicholas, and Svetlana V. Komarova. “Meta-analytic methodology for basic research: a practical guide.” Frontiers in physiology 10 (2019): 203.