VISTA: visualizing the spatial transcriptome of the


Journal

Bioinformatics advances
ISSN: 2635-0041
Titre abrégé: Bioinform Adv
Pays: England
ID NLM: 9918282081306676

Informations de publication

Date de publication:
2023
Historique:
received: 09 05 2023
revised: 07 08 2023
accepted: 12 09 2023
medline: 9 10 2023
pubmed: 9 10 2023
entrez: 9 10 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 VISTA is freely available at the following URL: https://public.tableau.com/app/profile/smu.oit.data.insights/viz/VISTA_16814210566130/VISTA.

Identifiants

pubmed: 37810458
doi: 10.1093/bioadv/vbad127
pii: vbad127
pmc: PMC10560093
doi:

Types de publication

Journal Article

Langues

eng

Pagination

vbad127

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS111055
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM133461
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press.

Déclaration de conflit d'intérêts

None declared.

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Auteurs

David Liska (D)

Office of Information Technology, Southern Methodist University, Dallas, TX 75205, United States.

Zachery Wolfe (Z)

Department of Biological Sciences, Southern Methodist University, Dallas, TX 75205, United States.

Adam Norris (A)

Department of Biological Sciences, Southern Methodist University, Dallas, TX 75205, United States.

Classifications MeSH