R2platform datascience annals

Online genome analysis platforms have revolutionized the way in which academic researchers can access and analyze their data. In the past, researchers without bioinformatics expertise would need to rely on bioinformaticians to help them process and analyze their data. However, with the advent of user-friendly online platforms, researchers can now access powerful tools and software to analyze their data without needing to know how to code. One such platform is R2 Genomics analysis and visualization platform ( https://r2.amc.nl ), which is designed specifically for academic researchers with no bioinformatics expertise. R2 is an easy-to-use, web-based platform that allows researchers to use public data (or have their own uploaded to a private section), perform analysis and visualize their results in a matter of minutes. Best of all, R2 is a free platform and can be used by academic researchers at no cost. With R2, researchers can perform a variety of different analyses, including gene exp

TARs Over the years, the R2 platform ( https://r2.amc.nl ) has developed into much more than its initial analysis and visualization options for gene expression data. Due to some great collaborations, e.g. within the ITCC-P4 project in the IMI2 framework, we have been fortunate enough to be involved in many cool areas of research with gaps that could be filled.  One of those open areas has been the critical review of scientific literature into a TAR. A target actionability literature review is a type of systematic review that aims to identify and evaluate the evidence on a specific target and its actionability, typically in the field of precision medicine. The main objective of this type of review is to identify the genetic or molecular target and evaluate the available evidence on the actionability of that target, that is, the availability of agents (such as drugs) that can act on the target, the quality of the evidence supporting the proposed action and the potential clinical impact o

Attention all biomedical researchers! Are you tired of struggling with coding and bioinformatics expertise just to access and analyze large sets of public data? Introducing R2 Genomics Analysis and Visualization Platform ( https://r2.amc.nl ) - the ultimate online data mining and data science tool for your research needs. R2 provides easy access to thousands of publicly available genomics datasets, allowing you to quickly and efficiently mine the data for insights without any prior coding or bioinformatics knowledge required. Our user-friendly interface and advanced data analysis and visualization tools, including principal component analysis, gene filtering, and UMAP/t-SNE dimensionality reduction, make it easy for you to uncover new insights in your research. Our platform also allows for easy integration and analysis of multiple datasets, making it perfect for large-scale projects and collaborations. Say goodbye to the hassle of coding and bioinformatics expertise and hello to quick

Welcome to the R2platform DataScience Annals. This blog will serve as a low-level entry point to provide some insights into datascience that may also be applicable for users of the http://r2platform.com .