SynEcoSys – User-friendly single cell database and bioinformatics platformWatch nowSingle cell analysis can be tedious and requires experienced bioinformaticians. However this may no longer be the case!Here we introduce SynEcoSys, a single cell database and analytics platform that allows you to explore your single cell data with ease!SynEcoSys brings together large number of curated datasets that is convenient for enhancing your single cell data analysis! This webinar will show you how SynEcoSys can help in your single cell research in several ways to:Easily perform comprehensive single cell data analysis without coding. The analysis is highly customizable and allows users to select different batch correction methods or specify genes for cell type annotation, for example.Search and select public data sets to complement your research. SynEcoSys single cell database contains over 600 publications, 10900+ samples, 560+ cell types, 8200+ marker genes, and 130+ tissue types, and is constantly updated to include the latest publications. All data are harmonized to ensure compatibility.Perform data mining and reanalyze published data. The SynEcoSys database is easily searchable by disease areas or tissue type for bench marking, reanalysis, or validation of novel discoveries.Present your result with professional visualizations that meet major scientific journal requirements using the built-in data visualization moduleUpdate, September 2024We are proud to announce that CeleLens™ Cloud, our latest software for intuitive single cell data analysis, is now available. Moreover, there is no need to be a seasoned bioinformatician to use CeleLens. Through our no-code platform, you can turn your matrix file into publication-ready figures with just a few clicks.In addition, CeleLens™ Cloud has all the visualization features of SynEcoSys, plus some extra enhancements! Save time and dig into your data now with CeleLens’s automated and customizable analysis.Go Code FreeCheck out our latest webinars Learn more From Epigenome Atlases to Gene Regulatory Codes - by Prof. Bing Ren (UCSD) Read more Single-Cell Decoding of Cellular Lineages and the Evolution of Plant Exceptional Traits Read more In Vitro Modeling of Parkinson’s Disease with Patient Specific Midbrain Organoids Read more