How to make spatial maps of gene activity — down to the cellular level
Michael Eisenstein
Nature, 2022, vol. 606, issue 7916, 1036-1038
Abstract:
Computational and experimental methods are bringing researchers closer to their goal of revealing exactly where in a cell or tissue each gene is expressed.
Keywords: Transcriptomics; Computational biology and bioinformatics; Imaging (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/d41586-022-01743-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:606:y:2022:i:7916:d:10.1038_d41586-022-01743-7
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/d41586-022-01743-7
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().