https://doi.org/
Poster
NOT PEER REVIEWED
Download
metrics
VIEWS
189
 
downloads
26
CITE
How to cite this poster:
Aridhi S, Sghaier H, Maddouri M and Nguifo EM In silico phenotype prediction of ionizing-radiation-resistant bacteria by extraction of discriminative motifs. F1000Posters 2011, 2:1287 (poster)

In silico phenotype prediction of ionizing-radiation-resistant bacteria by extraction of discriminative motifs

Sabeur Aridhi1, Sabeur Aridhi2, Sabeur Aridhi3, Sabeur Aridhi4, Haitham Sghaier, Mondher Maddouri, Engelbert Mephu Nguifo
Published 25 Aug 2011
Author Affiliations
  • Metrics
  • 189 Views
  • 26 Downloads
Browse by related subjects
Published 25 Aug 2011

In silico phenotype prediction of ionizing-radiation-resistant bacteria by extraction of discriminative motifs

[version 1; not peer reviewed]

Sabeur Aridhi1, Sabeur Aridhi2, Sabeur Aridhi3, Sabeur Aridhi4, Haitham Sghaier, Mondher Maddouri, Engelbert Mephu Nguifo
Author Affiliations
1 CNRS, LIMOS, France
2 University of Clermont, France
3 FSJEGJ, University of Jendouba, Tunisia
4 URPAH-FST, University of Tunis El Manar, Tunisia
Presented at
ISCB Student Council Symposium 2013
Abstract
Competing Interests

No relevant conflicts of interest declared.

Comments
0 Comments
 
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.