English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Unbiased classification of mosquito blood cells by single-cell genomics and high-content imaging

MPS-Authors
/persons/resource/persons141745

Severo,  Maiara S.
Vector Biology, Max Planck Institute for Infection Biology, Max Planck Society;

/persons/resource/persons81900

Goosmann,  Christian
Core Facilities / Microscopy, Max Planck Institute for Infection Biology, Max Planck Society;

/persons/resource/persons81827

Brinkmann,  Volker
Core Facilities / Microscopy, Max Planck Institute for Infection Biology, Max Planck Society;

/persons/resource/persons82016

Levashina,  Elena A.
Vector Biology, Max Planck Institute for Infection Biology, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

PNAS_2018_115_E7568.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Severo, M. S., Landry, J. J. M., Lindquist, R. L., Goosmann, C., Brinkmann, V., Collier, P., et al. (2018). Unbiased classification of mosquito blood cells by single-cell genomics and high-content imaging. Proceedings of the National Academy of Sciences of the United States of America, 115(32), E7568-E7577. doi:10.1073/pnas.1803062115.


Cite as: https://hdl.handle.net/21.11116/0000-0002-6B83-2
Abstract
There is no abstract available