Mahfuzur Rahman
Papers
1
Total Citations
12
H-Index
1
About
Mahfuzur Rahman is a computational biologist whose work centers on unraveling the complexity of genetic interactions, particularly in yeast. His primary research focus is the development of high-throughput screening methods to map trigenic interactions—the combined effects of three genes on an organism’s fitness. Rahman’s most notable contribution, the τ-SGA (trigenic synthetic genetic array) technique, provides a systematic and quantitative platform for identifying these higher-order genetic relationships. This innovation, detailed in his 2021 paper "τ-SGA: synthetic genetic array analysis for systematically screening and quantifying trigenic interactions in yeast," has garnered 12 citations, reflecting its growing influence in the field of functional genomics. By enabling researchers to explore beyond pairwise interactions, Rahman’s work sheds light on the genetic buffering and redundancy that underpin complex traits and disease. His achievements mark a significant step toward a more comprehensive understanding of genetic networks, offering tools that could eventually inform therapeutic strategies for polygenic disorders. For students and researchers, Rahman’s research exemplifies how method development can unlock new dimensions in genetics.
Research Focus
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Top Papers
- 1