| Autor: |
Fabiola Curion, Charlotte Rich-Griffin, Devika Agarwal, Sarah Ouologuem, Kevin Rue-Albrecht, Lilly May, Giulia E. L. Garcia, Lukas Heumos, Tom Thomas, Wojciech Lason, David Sims, Fabian J. Theis, Calliope A. Dendrou |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Genome Biology, Vol 25, Iss 1, Pp 1-20 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1474-760X |
| DOI: |
10.1186/s13059-024-03322-7 |
| Popis: |
Abstract Single-cell multiomic analysis of the epigenome, transcriptome, and proteome allows for comprehensive characterization of the molecular circuitry that underpins cell identity and state. However, the holistic interpretation of such datasets presents a challenge given a paucity of approaches for systematic, joint evaluation of different modalities. Here, we present Panpipes, a set of computational workflows designed to automate multimodal single-cell and spatial transcriptomic analyses by incorporating widely-used Python-based tools to perform quality control, preprocessing, integration, clustering, and reference mapping at scale. Panpipes allows reliable and customizable analysis and evaluation of individual and integrated modalities, thereby empowering decision-making before downstream investigations. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink