دورية أكاديمية

Protocols for single-cell RNA-seq and spatial gene expression integration and interactive visualization

التفاصيل البيبلوغرافية
العنوان: Protocols for single-cell RNA-seq and spatial gene expression integration and interactive visualization
المؤلفون: Surbhi Sona, Matthew Bradley, Angela H. Ting
المصدر: STAR Protocols, Vol 4, Iss 1, Pp 102047- (2023)
بيانات النشر: Elsevier, 2023.
سنة النشر: 2023
المجموعة: LCC:Science (General)
مصطلحات موضوعية: Bioinformatics, Single Cell, Sequencing, RNAseq, Science (General), Q1-390
الوصف: Summary: There is a wealth of software that utilizes single-cell RNA-seq (scRNA-seq) data to deconvolve spatial transcriptomic spots, which currently are not yet at single-cell resolution. Here we provide protocols for implementing Seurat and Giotto packages to elucidate cell-type distribution in our example human ureter scRNA-seq dataset. We also describe how to create a stand-alone interactive web application using Seurat libraries to visualize and share our results.For complete details on the use and execution of this protocol, please refer to Fink et al. (2022).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2666-1667
Relation: http://www.sciencedirect.com/science/article/pii/S2666166723000059; https://doaj.org/toc/2666-1667
DOI: 10.1016/j.xpro.2023.102047
URL الوصول: https://doaj.org/article/8da0e4898c944db0acea47d24a2278c4
رقم الأكسشن: edsdoj.8da0e4898c944db0acea47d24a2278c4
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26661667
DOI:10.1016/j.xpro.2023.102047