Ursa: A Comprehensive Multiomics Toolbox for High-Throughput Single-Cell Analysis.

Authors:
Pan L; Mou T; Huang Y; Hong W; Yu M and 1 more

Journal:
Mol Biol Evol

Publication Year: 2023

DOI:
10.1093/molbev/msad267

PMCID:
PMC10752348

PMID:
38091963

Journal Information

Full Title: Mol Biol Evol

Abbreviation: Mol Biol Evol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Molecular Biology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
5/6
83.3% Transparent
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Core Indicators
Evidence found in paper:

"data availability the package and its source codes as well as examples files and meta files are available at: https://github com/singlecellomics/ursa ."

Evidence found in paper:

"ursa is freely available at https://github com/singlecellomics/ursa multiomics single-cell analysis workflow multimodal analysis single-cell technologies have equipped us with the ability to observe cellular events explicitly and multi-dimensionally.; data availability the package and its source codes as well as examples files and meta files are available at: https://github com/singlecellomics/ursa ."

Evidence found in paper:

"Conflict of Interest: The authors declare that they have no competing interests."

Evidence found in paper:

"Funding This work was supported by the Karolinska Institute (Network Medicine Global Alliance Collaborative Grant, C62623013, X.L. and L.P.)."

Protocol Registration
Open Access
Paper is freely available to read
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Replication
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Last Updated: Aug 05, 2025