sqlite expert professional version 3.3.0

Since researchers often use RNA-Seq as an introduction to the analysis of omics data, various web services such as g:Profiler and DAVID ( (see for an overview) are available that allow the analysis of differentially expressed genes derived from upstream raw read count data analysis. To obtain full insights into the systemic and pathological effects of omics data, multiple global datasets have to be integrated and analyzed with different methods on distinct levels of regulation. Importantly, our pipeline is not restricted to a specific cell type or disease and can be broadly applied to better understand the unprecedented level of complexity in big data research.īioinformatics is an emerging field in the big data era, offering a steadily increasing number of algorithms and analysis tools. Several gene pathways associated with proliferation, extracellular matrix processes and wound healing were altered, and we could identify micro (mi) RNA-21-5p and miRNA-223-3p as key molecular components related to the anti-fibrotic treatment. The approach was applied to an ex vivo cardiac model treated with natural anti-fibrotic compounds and we obtained new mechanistic insights into their anti-fibrotic action and molecular interplay with miRNAs in cardiac fibrosis. It is available as a web application for an interactive and simplified analysis without the need for programming skills or deep bioinformatics background.

Here, we present an integrative bioinformatics pipeline to decipher crucial biological insights from global transcriptome profiling data to validate innovative therapeutics. However, for researchers in experimental life sciences it is often difficult to follow and properly apply the bioinformatical methods in order to unravel the complexity and systemic effects of omics data.

Sqlite expert professional version 3.3.0