The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
The scverse project provides a computational ecosystem for single-cell omics data analysis
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Cites
SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2020) · Nature Methods · doi:10.1038/s41592-019-0686-2 · Cited by 38,430
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Harris, C., Millman, K., van der Walt, S., Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N., et al. (2020) · RePEc: Research Papers in Economics · Cited by 17,844
Bioconductor: open software development for computational biology and bioinformatics
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Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2019) · Apollo - University of Cambridge Repository · doi:10.17863/cam.64134 · Cited by 10,460
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Self-citationOrchestrating high-throughput genomic analysis with Bioconductor
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Benchmarking atlas-level data integration in single-cell genomics
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Self-citation
Research works printed but not linked: 3
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Cited by
PyDESeq2: A Python Package for Bulk RNA-Seq Differential Expression Analysis
Muzellec, B., Teleńczuk, M., Cabeli, V., & Andreux, M. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad547 · Cited by 446
Program, C. C. S., Abdulla, S., Aevermann, B., Assis, P., Badajoz, S., Bell, S. M., Bezzi, E., Cakir, B., Chaffer, J., Chambers, S., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkae1142 · Cited by 399
LIANA+ Provides an All-in-One Framework for Cell–Cell Communication Inference
Dimitrov, D., Schäfer, P. S. L., Farr, E., Rodriguez-Mier, P., Lobentanzer, S., Badia-i-Mompel, P., Dugourd, A., Tanevski, J., Ramirez Flores, R. O., & Saez-Rodriguez, J. (2024) · Nature Cell Biology · doi:10.1038/s41556-024-01469-w · Cited by 263
A fast, scalable and versatile tool for analysis of single-cell omics data
Zhang, K., Zemke, N. R., Armand, E. J., & Ren, B. (2024) · Nature Methods · doi:10.1038/s41592-023-02139-9 · Cited by 185
Program, C. S.-C. B., Abdulla, S., Aevermann, B., Assis, P., Badajoz, S., Bell, S. M., Bezzi, E., Cakir, B., Chaffer, J., Chambers, S., et al. (2023) · doi:10.1101/2023.10.30.563174 · Cited by 142
Metadata
- Authors
- Virshup, I., Bredikhin, D., Heumos, L., Palla, G., Sturm, G., Gayoso, A., Kats, I., Koutrouli, M., Community, S., Angerer, P., Bergen, V., Boyeau, P., Büttner, M., Eraslan, G., Fischer, D., Frank, M., Hong, J., Klein, M., Lange, M., Lopez, R., Lotfollahi, M., Luecken, M. D., Ramirez, F., Regier, J., Rybakov, S., Schaar, A. C., Valiollah Pour Amiri, V., Weiler, P., Xing, G., Berger, B., Pe’er, D., Regev, A., Teichmann, S. A., Finotello, F., Wolf, F. A., Yosef, N., Stegle, O., & Theis, F. J.
- Venue
- Nature Biotechnology
- Published
- 2023-04-10
- Volume
- 41
- Issue
- 5
- Pages
- 604-606
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W4362737480
- Cited by
- 341
- References
- 24
- FWCI
- 25.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
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- CoChat. (2026). Citation check: The scverse project provides a computational ecosystem for single-cell omics data analysis. https://app.cochat.ai/papers/10.1038/s41587-023-01733-8
- The paper
- Virshup, I., Bredikhin, D., Heumos, L., Palla, G., Sturm, G., Gayoso, A., Kats, I., Koutrouli, M., Community, S., Angerer, P., Bergen, V., Boyeau, P., Büttner, M., Eraslan, G., Fischer, D., Frank, M., Hong, J., Klein, M., Lange, M., . . . Theis, F. J. (2023). The scverse project provides a computational ecosystem for single-cell omics data analysis. Nature Biotechnology. https://doi.org/10.1038/s41587-023-01733-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
