Principles of Spatial Transcriptomics Analysis: A Practical Walk-Through in Kidney Tissue
Spatial transcriptomic technologies capture genome-wide readouts across biological tissue space. Moreover, recent advances in this technology, including Slide-seqV2, have achieved spatial transcriptomic data collection at a near-single cell resolution. To-date, a repertoire of computational tools ha...
Main Authors: | Greka, A. (Author), Marshall, J.L (Author), Noel, T. (Author), Wang, Q.S (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
Spatially resolved transcriptomics reveals plant host responses to pathogens
by: Michael Giolai, et al.
Published: (2019-10-01) -
De Novo Assembly, Characterization and Functional Annotation of Southern Hake (Merluccius australis) Transcriptome
by: Daniela Reyes, et al.
Published: (2016-11-01) -
SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies
by: Jiaqiang Zhu, et al.
Published: (2021-06-01) -
Evolving Clinical Applications of Tissue Transcriptomics in Kidney Disease
by: Andrea L. Oliverio, et al.
Published: (2019-07-01) -
cdev: a ground-truth based measure to evaluate RNA-seq normalization performance
by: Diem-Trang Tran, et al.
Published: (2021-10-01)