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Structural and Functional Bioinformatics
SFB
Structural and Functional Bioinformatics
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genome

AI4GH Seminar Series - Computational Modeling of Malaria Metabolism Reveals Different Stages and Species Nutrient Preferences and Drug Targets

Alyaa M Mohamed, Ph.D., Bioscience
Nov 25, 12:00 - 13:00

B2 R5220

genome plasmodial infections

Malaria kills nearly one-half million people a year and over 1 billion people are at risk of becoming infected by the parasite. Plasmodial infections are difficult to treat for a myriad of reasons, but the ability of the organism to remain latent in hosts and the complex life cycles greatly contributed to the difficulty in treat malaria.

Our work on mining growth phenotype data accepted by Bioinformatics

1 min read · Sat, Apr 1 2017

News

genome algorithm

​​Congratulates Majed and Hiro on their work on developing a novel constant-column biclustering algorithm for mining co-fit genes from genome-scale growth phenotype data which was accepted by Bioinformatics.

Fourth PhD graduated from SFB Group

1 min read · Wed, May 17 2017

News

genome phenotypes

SFB Group graduated its fourth Ph.D. student - Dr. Majed Alzahrani!

Structural and Functional Bioinformatics (SFB)

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