Bridging Science and Research
Linking Minds and Talents
Our name, RAYAZI, is a blend of two Persian terms. "RAYA" is derived from "RAYANESH," meaning computation, and "ZI" is inspired by "ZIST," meaning biology. RAYAZI is where computation and biology seamlessly intersect, fostering innovation.
We aim to accelerate breakthroughs in science, empowering the next generation of researchers to make impactful contributions to the field. Connecting skillful students with senior researchers seeking vibrant talents is what we do.
Senior researchers can join us, submit a research proposal and we'll provide them with a group of talented, skillful, and highly motivated students.
Are you a student? Seeking an opportunitys to collaborate with a senior researcher? Simply sign up and explore research proposals. Apply for the proposal fitting your interests and join the teams working under the supervision of a senior researcher or faculty member.
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Explore our bioinformatics projects for innovative research and impactful solutions in genomics and proteomics. Join us on our journey of pushing boundaries in the life sciences.
Main Scientific Question of the Project :...
In the initial phase of this project, participants are expected to demonstrate their research skills and understanding of the concepts required for calculating polygenic risk scores for ADNI3 patients, using the datasets provided. This should be showcased through a comprehensive and detailed report outlining their calculations and methodologies....
The increasing prevalence of antibiotic-resistant bacteria poses a significant threat to global human health. Developing new antibiotics is a slow and costly process, so an alternative solution is to explore the potential of phages, which are natural predators of bacteria. Our goal is to investigate phage genomes as a potential source of new antibacterial agents. Once we have identified promising genes, we will validate their efficacy and produce them as standalone therapeutics....
In network science, a motif denotes a recurring and statistically significant subgraph pattern within a larger network. These motifs often depict common structural or functional features observed frequently in biological networks, such as feedforward loops, feedback loops, or signaling pathways....