The ReproGenomics Viewer: a multi-omics and cross-species resource compatible with single-cell studies for the reproductive science community

• DOI: 10.1093/bioinformatics/btz047
• Publication Date: 2019-01-17T12:09:41Z
• Authors: Thomas A Darde; Estelle Lecluze; Aurélie Lardenois; Isabelle Stévant; Nathan Alary; Frank Tüttelmann; Olivier Collin; Serge Nef; Bernard Jégou; Antoine D Rolland; Frédéric Chalmel
• Keywords: Python; Cross-platform

Abstract Motivation Recent advances in transcriptomics have enabled unprecedented insight into gene expression analysis at a single-cell resolution. While it is anticipated that the number of publications based on such technologies will increase next decade, there currently no public resource to centralize and enable scientists explore datasets published field reproductive biology. Results Here, we present major update ReproGenomics Viewer, cross-species cross-technology web-based manually-curated sequencing related reproduction. The redesign Viewer's architecture accompanied by significant growth database content including several landmark RNA-sequencing datasets. implementation additional tools enables users visualize browse complex, high-dimensional data now being generated field. Availability Viewer freely accessible http://rgv.genouest.org. website implemented Python, JavaScript MongoDB, compatible with all browsers. Source codes can be downloaded from https://github.com/fchalmel/RGV. Supplementary information are available Bioinformatics online.