Skip to content
https://doi.org/10.21955/gatesopenres.1116420.1
Poster
NOT PEER REVIEWED
Download
metrics
VIEWS
185
 
downloads
14
CITE
How to cite this poster:
Ottilie S, Luth M, Winzeler E and Malaria Drug Accelerator (MalDA). Using in vitro evolution and whole genome analysis (IVIEWGA) to identify targets of antiparasitic compounds  [version 1; not peer reviewed]. Gates Open Res 2019, 3:1572 (poster) (https://doi.org/10.21955/gatesopenres.1116420.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Using in vitro evolution and whole genome analysis (IVIEWGA) to identify targets of antiparasitic compounds 

Sabine Ottilie1, Madeline Luth, Elizabeth Winzeler, Malaria Drug Accelerator (MalDA)
Author Affiliations
  • Metrics
  • 185 Views
  • 14 Downloads
 
Browse by related subjects
Published 15 Oct 2019

Using in vitro evolution and whole genome analysis (IVIEWGA) to identify targets of antiparasitic compounds 

[version 1; not peer reviewed]

Sabine Ottilie1, Madeline Luth, Elizabeth Winzeler, Malaria Drug Accelerator (MalDA)
Author Affiliations
1 University of California San Diego, USA
Abstract
Gates Foundation grant number
OPP1040406; OPP1171497, OPP1054480
Competing Interests

No competing interests were disclosed

Keywords
Malaria, drug discovery, mechanism of action
Comments
0 Comments
 

Are you a Gates-funded researcher?

If you are a previous or current Gates grant holder, sign up for information about developments, publishing and publications from Gates Open Research.

You must provide your first name
You must provide your last name
You must provide a valid email address
You must provide an institution.

Thank you!

We'll keep you updated on any major new updates to Gates Open Research

Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.