VISTA: Visualizing the Spatial Transcriptome of the


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
22 Jun 2023
Historique:
pubmed: 10 5 2023
medline: 10 5 2023
entrez: 10 5 2023
Statut: epublish

Résumé

Profiling the transcriptomes of single cells without sacrificing spatial information is a major goal of the field of spatial transcriptomics, but current technologies require tradeoffs between single-cell resolution and whole-transcriptome coverage. In one animal species, the nematode worm

Identifiants

pubmed: 37163055
doi: 10.1101/2023.04.28.538711
pmc: PMC10168398
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIGMS NIH HHS
ID : R35 GM133461
Pays : United States

Commentaires et corrections

Type : UpdateIn

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Auteurs

David Liska (D)

Office of Information Technology, Southern Methodist University. Dallas, TX USA.

Zachery Wolfe (Z)

Department of Biological Sciences, Southern Methodist University. Dallas, TX USA.

Adam Norris (A)

Department of Biological Sciences, Southern Methodist University. Dallas, TX USA.

Classifications MeSH