QCRI’s Computational Science and Engineering center conducts research in bioinformatics and high performance computing.
Bioinformatics is the field of science in which biology, computer science, statistics and information-based technology form a single discipline.
The science of Bioinformatics, which is the melding of molecular biology with computer science, is essential to the use of genomic and proteomic information in understanding human diseases and in the identification of new molecular targets for drug discovery.
In the past 10 years, a bioinformatics concern was the creation of a large database to store biological and biomedical information, such as nucleotide and amino acid sequences.
Development of this type of database involved not only design issues, but the development of complex interfaces whereby researchers could both access existing data and submit new or revised data.
However, the field of Bioinformatics has evolved to the point that the most pressing task now involves the analysis and interpretation of various types of data, including nucleotide and amino acid sequences, protein domains, and protein structures.
Important sub-disciplines within bioinformatics include:
Work at QCRI’s bioinformatics center involves collaboration on diverse disciplines such as mathematics, computer sciences, biology, statistics, and economics. We also aim to develop genomic, proteomics, and bioinformatic tools that can be applied to study infectious diseases as well as a drug discovery.
High-Performance Computing (HPC) is a key enabler of simulation-based science and engineering. Through Visualization, researchers are able to synthesize information and derive insight from massive, dynamic, ambiguous, and often conflicting data; detect the expected and discover the unexpected; provide timely, defensible, and understandable assessments; and communicate assessments effectively for action. Simulation techniques allow researchers to design a model of a real-world system and conduct experiments on this model to understand the behavior of the system and evaluate various strategies for the operation of the system.
Another area of HPC of interest to QCRI is Data Intensive Computing, which enables the handling of vast amounts of data. This is especially important in light of the fact that the volume of digital data grew by 50 percent between 2009 and 2010 to 1.2 zettabytes (ZB) and is expected to reach 35 ZB by 2020.
HPC means more than just high-end computing. Software and hardware techniques, such as parallel processing, that have been developed over the past two decades are now essential for mainstream computing. As this technology advances, QCRI plans to be at the forefront of HPC developments of the future.
In the Media
A new study has found what many of us have always thought to be true: We are more likely to accept correction from people we know than strangers. The study , conducted by researchers at Cornell, ...
There are few things social media users love more than flooding their feeds with photos of food. Yet we seldom use these images for much more than a quick scroll on our cellphones. Researchers from ...
A signature catchphrase, a heavy push for jobs, his son-in-law’s digital operation and a blowhard, braggadocios style of speech ultimately handed President Donald Trump the White House on Election ...
Children and teenagers have been given a rare chance to develop their computing skills with world-class computing scientists at the first summer computing camp conducted by the Qatar Computing ...
The Qatar Computing Research Institute’s new Creative Space, which conducts fun activities to teach children computing skills, has successfully held its first Open House event. About 100 children ...
The QCRI – MIT CSAIL Annual Research Project Review is open to the public on Monday, March 27, 2017, at the HBKU Research Complex Multipurpose Room. The annual meeting is a highlight of a ...