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2024年的Bgee:专注于经过整理的单细胞RNA测序数据集和查询工具。

Bgee in 2024: focus on curated single-cell RNA-seq datasets, and query tools.

作者信息

Bastian Frederic B, Cammarata Alessandro Brandulas, Carsanaro Sara, Detering Harald, Huang Wan-Ting, Joye Sagane, Niknejad Anne, Nyamari Marion, Mendes de Farias Tarcisio, Moretti Sébastien, Tzivanopoulou Marianna, Wollbrett Julien, Robinson-Rechavi Marc

机构信息

Evolutionary Bioinformatics, SIB Swiss Institute of Bioinformatics, Quartier Sorge, Bâtiment Amphipôle, Lausanne, 1015, Switzerland.

Department of Ecology and Evolution, University of Lausanne, Quartier Sorge, Bâtiment Biophore, Lausanne, 1015, Switzerland.

出版信息

Nucleic Acids Res. 2025 Jan 6;53(D1):D878-D885. doi: 10.1093/nar/gkae1118.

Abstract

Bgee (https://www.bgee.org/) is a database to retrieve and compare gene expression patterns in multiple animal species. Expression data are integrated and made comparable between species thanks to consistent data annotation and processing. In the past years, we have integrated single-cell RNA-sequencing expression data into Bgee through careful curation of public datasets in multiple species. We have fully integrated this new technology along with the wealth of other data existing in Bgee. As a result, Bgee can now provide one definitive answer all the way to the cell resolution about a gene's expression pattern, comparable between species. We have updated our programmatic access tools to adapt to these changes accordingly. We have introduced a new web interface, providing detailed access to our annotations and expression data. It enables users to retrieve data, e.g. for specific organs, cell types or developmental stages, and leverages ontology reasoning to build powerful queries. Finally, we have expanded our species count from 29 to 52, emphasizing fish species critical for vertebrate genome studies, species of agronomic and veterinary importance and nonhuman primates.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a00/11701651/17da693786d1/gkae1118figgra1.jpg

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