 Hello, I am Mark Robinson Rashavi. Hi, I'm Frédéric Bastion and our group provides the database BG for gene expression expertise. BG is Integrated and Created Expression Atlas capable of providing a single and easy answer to the question, where is this gene expressed? It is exclusively based on creating healthy, wide-type expression data. So there is no gene knockout, no treatment, no disease data, so that we can provide a comparable reference of normal gene expression as expected in the wild. BG can be used either for retrieving information really on a single gene or to perform functional genomic studies looking at normal function of a list of genes. For instance, studying a disease, you often find a list of genes associated to this disease and then you wonder, what are these genes doing? So you could use BG to get the information about the overall expression patterns of all these genes where they are active. Data integration is the key word for BG. In our initial release, BG only had expression sequence tags, which were an old technology to find gene expression and from only four species. Since that first release, we have grown to include RNA-seq, aphymetrics, microarrays, and in-situ hybridization from 29 species so far. Another evolution since the beginning of BG that originally it was accessible only through a website to retrieve the information that we computed. We developed more and more tools by a conductor, our packages, a web API, so that researchers could perform their own analysis using our methods. A main difference is that all data available is completely integrated in BG. So we provide a single answer to the question, where is this gene expressed? There's no need to track the information across multiple data sets, multiple technologies. To us, is this gene expressed according to RNA-seq or microarray? It is all integrated. Another key difference is that BG allows automatic comparison of expression between genes, even from different species. Being able to compare expression data between species is essential to study gene evolution, but also in biomedical applications to determine the functional importance of the expression localization of a gene. This is possible because we have curated relations of anatomal homology between species so that we can determine that expression information, for example, in the human lung, is comparable to expression information in the zebrafish swim bladder. So we have the next series of BG, the release 15, planned for early 2021, and a major step with that is to integrate single cell RNA-seq data, as well as RNA-seq data for about 50 species. We hope you would enjoy the features which are now in BG and those which will develop in the near future. And I hope you will give a try to the BG database and bye. Goodbye.