Aug 11, 2023

Public workspaceParse Evercode WT Mini v2.0.1 Protocol -- University of Minnesota TMCs

DOI
dx.doi.org/10.17504/protocols.io.eq2ly7kjelx9/v1
  • Parse Biosciences1,
  • Laura J Niedernhofer2,
  • David A Bernlohr2
  • 1Parse Biosciences, support@parsebiosciences.com;
  • 2University of Minnesota, Minneapolis, MN USA
  • Cellular Senescence Network (SenNet) Method Development Community
Mickayla DuFresne-To
Icon indicating open access to content
QR code linking to this content
DOI: dx.doi.org/10.17504/protocols.io.eq2ly7kjelx9/v1
Protocol Citation: Parse Biosciences, Laura J Niedernhofer, David A Bernlohr 2023. Parse Evercode WT Mini v2.0.1 Protocol -- University of Minnesota TMCs. protocols.io https://dx.doi.org/10.17504/protocols.io.eq2ly7kjelx9/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License,  which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: May 03, 2023
Last Modified: August 11, 2023
Protocol Integer ID: 81371
Keywords: Parse, Evercode, Fixed, scRNAseq, snRNAseq, sc/snRNAseq, UMN, UMinnesota, University of Minnesota
Funders Acknowledgements:
NIH
Grant ID: 1U54AG079754-01
NIH
Grant ID: 1U54AG07041-01
Abstract
https://www.parsebiosciences.com/products/evercode-whole-transcriptome

Protocol for Parse Biosciences Evercode, MINI WT -- for trials/pilots, capable of tagging 10k cells total in up to 12 samples.

Version 2.0.1

https://www.parsebiosciences.com/
Download Parse Evercode WT __MINI__ protocol (v2 (1).pdfParse Evercode WT __MINI__ protocol (v2 (1).pdf