Single-cell spatial explorer: easy exploration of spatial and multimodal transcriptomics

Autor:	Frédéric Pont, Juan Pablo Cerapio, Pauline Gravelle, Laetitia Ligat, Carine Valle, Emeline Sarot, Marion Perrier, Frédéric Lopez, Camille Laurent, Jean Jacques Fournié, Marie Tosolini
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	Spatial transcriptomics Single-cell Multimodal analysis Visualization Open-source Freeware Computer applications to medicine. Medical informatics R858-859.7 Biology (General) QH301-705.5
Zdroj:	BMC Bioinformatics, Vol 24, Iss 1, Pp 1-12 (2023)
Druh dokumentu:	article
ISSN:	1471-2105
DOI:	10.1186/s12859-023-05150-1
Popis:	Abstract Background: The development of single-cell technologies yields large datasets of information as diverse and multimodal as transcriptomes, immunophenotypes, and spatial position from tissue sections in the so-called ’spatial transcriptomics’. Currently however, user-friendly, powerful, and free algorithmic tools for straightforward analysis of spatial transcriptomic datasets are scarce. Results: Here, we introduce Single-Cell Spatial Explorer, an open-source software for multimodal exploration of spatial transcriptomics, examplified with 9 human and murine tissues datasets from 4 different technologies. Conclusions: Single-Cell Spatial Explorer is a very powerful, versatile, and interoperable tool for spatial transcriptomics analysis.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/dec2360dda88430984db0c707c1d279d Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.