Best practices for single-cell analysis across modalities-Reference-Cited by-同舟云学术

Best practices for single-cell analysis across modalities

Published:2023-03-31 Issue:8 Volume:24 Page:550-572
ISSN:1471-0056
Container-title:Nature Reviews Genetics
language:en
Short-container-title:Nat Rev Genet

Author:

Heumos Lukas^ORCID,Schaar Anna C.^ORCID,Lance Christopher^ORCID,Litinetskaya Anastasia,Drost Felix^ORCID,Zappia Luke^ORCID,Lücken Malte D.^ORCID,Strobl Daniel C.,Henao Juan,Curion Fabiola^ORCID,Aliee Hananeh,Ansari Meshal,Badia-i-Mompel Pau,Büttner Maren,Dann Emma,Dimitrov Daniel,Dony Leander,Frishberg Amit,He Dongze,Hediyeh-zadeh Soroor,Hetzel Leon,Ibarra Ignacio L.,Jones Matthew G.,Lotfollahi Mohammad,Martens Laura D.,Müller Christian L.,Nitzan Mor,Ostner Johannes,Palla Giovanni,Patro Rob,Piran Zoe,Ramírez-Suástegui Ciro,Saez-Rodriguez Julio,Sarkar Hirak,Schubert Benjamin,Sikkema Lisa,Srivastava Avi,Tanevski Jovan,Virshup Isaac,Weiler Philipp,Schiller Herbert B.,Theis Fabian J.^ORCID,

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics,Molecular Biology

Link

https://www.nature.com/articles/s41576-023-00586-w.pdf

Reference256 articles.

1. Zappia, L. & Theis, F. J. Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape. Genome Biol. 22, 301 (2021).

2. Amezquita, R. A. et al. Orchestrating single-cell analysis with bioconductor. Nat. Methods 17, 137–145 (2020).

3. Hao, Y. et al. Integrated analysis of multimodal single-cell data. Cell 184, 3573–3587.e29 (2021).

4. Wolf, F. A., Angerer, P. & Theis, F. J. SCANPY: large-scale single-cell gene expression data analysis. Genome Biol. 19, 15 (2018).

5. Luecken, M. D. & Theis, F. J. Current best practices in single-cell RNA-seq analysis: a tutorial. Mol. Syst. Biol. 15, e8746 (2019). This scRNA-seq-focused review and workflow template served as inspiration for the current benchmark-based Expert Recommendation.

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