eConferences
  Menu
Skip to content
  • Home
  • qPCR 2010
  • qPCR 2011
  • qPCR & NGS 2013
  • MG 2014
  • qPCR & NGS 2015
  • GQ2017
  • GQ2019
  • GQ2023
  • Partners
« qPCR Data Analysis
Extracellular vesicles and their potential as biomarkers and therapeutics »

MicroGenomics and single-cell qPCR

By Maxime | June 5, 2017 - 22:52 |June 23, 2017 qPCR & NGS Freising 2017



Screen Shot 2017-06-22 at 23.20.17
Computational analysis of single-cell RNA-seq profiles identifies lineage choice and graded transitions in myeloid progenitors
Fabian J. Theis
Screen Shot 2017-06-22 at 23.20.50
High resolution single cell analysis in complex adult tissues
Stefan Günther et al.
Screen Shot 2017-06-22 at 23.21.28
A cost effective 5′ selective single cell transcriptome profiling approach
Pascal Barbry et al.
Screen Shot 2017-06-22 at 23.21.59
Deeper understanding starts with a single cell
Afif M. Abdel Nour et al.
Screen Shot 2017-06-22 at 23.23.14
Whole transcriptome subcellular profiling of the Xenopus oocyte
Radek Sindelka et al.



Talks in this Session:
    • Computational analysis of single-cell RNA-seq profiles identifies lineage choice and graded transitions in myeloid progenitors
    • High resolution single cell analysis in complex adult tissues
    • A cost effective 5′ selective single cell transcriptome profiling approach
    • Deeper understanding starts with a single cell
    • Whole transcriptome subcellular profiling of the Xenopus oocyte

Back to other sessions of this symposium
  • Tweet
Bookmark the permalink.
« qPCR Data Analysis
Extracellular vesicles and their potential as biomarkers and therapeutics »

Comments are closed.

  • Hot topics!

    • MIQE guidelines
    • Data Analysis
    • Digital PCR
  • Search: eConferences

  • Partner Channels

  • Read more … @GQ

    Gene Quantification
  • Admin

    • Log in
    • Entries RSS
    • Comments RSS
    • WordPress.org
eConferences.de © 2010-2021 powered by bioMCC
eConferences | Powered by Mantra & WordPress.