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

Bgee in 2024: Updates on Gene Expression Data and Tools

publication Evidence: moderate

Author Information

Author(s): Bastian Frederic, Cammarata Alessandro, 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

Primary Institution: SIB Swiss Institute of Bioinformatics

Conclusion

Bgee has successfully integrated single-cell RNA-sequencing data and improved its tools for accessing and analyzing gene expression data across multiple species.

Supporting Evidence

  • Bgee now includes 52 species, up from 29, enhancing its utility for comparative studies.
  • The new web interface allows users to easily access and query gene expression data.
  • Bgee focuses on integrating only healthy wild-type data for clear gene expression patterns.
  • Single-cell RNA-sequencing data have been curated to improve data reproducibility and integration.
  • Bgee has been recognized as a Global Core Biodata Resource.

Takeaway

Bgee is like a big library where scientists can find and compare how genes work in different animals, and now it has even more information about tiny cells.

Methodology

Bgee integrates gene expression data from various species, focusing on single-cell RNA-sequencing, and provides tools for standardized data access and analysis.

Limitations

The integration of diverse datasets can lead to challenges in standardization and comparison due to varying nomenclature and definitions of cell types.

Digital Object Identifier (DOI)

10.1093/nar/gkae1118

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