Powered by logic and large language models, DeepGO-SE predicts the biological role of proteins and could be used to aid drug discovery.
An innovative AI-based tool leverages varied symptom descriptions, along with evidence from the scientific literature and genomic datasets, to pinpoint disease-associated gene variants.
CBRC PhD Student Azza Althagafi successfully defends her dissertation under the supervision of Associate Professor Robert Hoehndorf. She has been a member of the Bio-Ontology Research Group (BORG) since 2016. Her research interest lies in the crossroads of computer science and biology, leveraging AI techniques to explore the human genome's intricacies and its link to various diseases.
PhD Dissertation Defense | Ontology design patterns and methods for integrating phenotype ontologies
CBRC PhD student Sarah Alghamdi successfully defended her dissertation last week. She has been an essential member of the Bio-Ontology Research Group (BORG) since 2015.Her research interests include the applications of artificial intelligence and statistical methods to genomics and healthcare.
Congratulations to CBRC members Prof. Stefan Arold, Krishnakumar Sivakumar, Raik Grunberg, Senay Kafkas and Salim Bougouffa who received their 2023 KAUST employee service awards.
Student Nurul Muttakin from the Bio-Ontology Research Group (BORG) under the supervision of Assoc. Prof. Robert Hoehndorf successfully defends his Masters thesis. He presented his research on the topic " Learning 3D structures for protein function prediction".
Student Hatoon Ali from the Bio-Ontology Research Group (BORG) under the supervision of Prof. Robert Hoehndorf successfully defends her Masters thesis. She presented her research on the topic " Predicting Regulatory and Phenotypic Effects of Non-coding Variants".
King Abdullah University of Science and Technology (KAUST) celebrated its 13th Commencement on a cool, breezy evening, December 16, 2022, among approximately 380 graduating students and a full audience of supportive families, university community members and distinguished guests.
This year CBRC saw many student candidates complete their Postdoctoral and Masters Degrees. CBRC congratulates all students on this great achievement and wishes you even more success in the future.
Congratulations to Senay Kafkas, Maxat Kulmanov and Fernando Zhapa Camacho of the Bio-Ontology Research Group (BORG) on winning at the KAUST-NVIDIA GPU Hackathon 2022.
The 8th edition of the Hackathon on Accelerating Scientific Applications using Graphical Processing Units (GPUs) was held at King Abdullah University of Science and Technology (KAUST), twelve teams of students and researchers enjoyed the opportunity to accelerate their codes in GPU’s under the guidance of expert mentors of NVIDIA, Codee, KAUST Supercomputing Lab (KSL) and KAUST core labs.
The Computational Bioscience Research Center (CBRC) is pleased to announce that Professor Xin Gao has assumed the position of Interim Director and Professor Robert Hoehndorf as Interim Associate Director of the CBRC. Both professors assumed their roles on September 15, 2022.
PhD Student Sarah M Alghamdi from the Bio-Ontology Research Group (BORG) explains how phenotype ontologies help in identifying disease genes through phenotype comparison. Her research was picked as a highlight in the July 2022 issue of Disease Models and Mechanisms Journal.
Fernando Patricio Zhapa Camacho an M.S./Ph.D. candidate in the KAUST Bio-Ontology research group under the supervision of Professor Robert Hoehndorf successfully defended his thesis "Embedding Ontologies using Category Theory Semantics".
Xi Peng MS Student under the supervision of Professor Robert Hoehndorf successfully defended his thesis "Description Logic EL++Embeddings with Intersectional Closure"
Yang Liu, M.S./Ph.D. candidate in the Bio-Ontology research group under the supervision of Professor Robert Hoehndorf
successfully defended her thesis "Rare variant collapsing analysis on UK Biobank".
Congratulations to Computer Science alumna Imane Boudellioua (Ph.D. ’19, MS ’12) for receiving a prize in the 19th edition of the annual KACST Almarai National Prize for Creative Scientific Work for Students (Ph.D. Level). As a Ph.D. student in the Computational Bioscience Research Center, Dr. Boudellioua worked in machine learning and data mining algorithms, with research targeting the potential to help patients with mysterious ailments find genetic causes for their undiagnosed disease.