Fine-scale resolution of genomes in natural microbial communities. This project aims to develop advanced molecular and statistical techniques to precisely resolve the genomes of microbes in the environment. Microbes inhabit every niche on the planet and are fundamental to human and animal health, agriculture, and the environment. The proposed technology will advance our understanding of environmental microbes, leading to advances in areas like climate science and biosecurity where microbes play ....Fine-scale resolution of genomes in natural microbial communities. This project aims to develop advanced molecular and statistical techniques to precisely resolve the genomes of microbes in the environment. Microbes inhabit every niche on the planet and are fundamental to human and animal health, agriculture, and the environment. The proposed technology will advance our understanding of environmental microbes, leading to advances in areas like climate science and biosecurity where microbes play a key role. It will also support the development of billion dollar industries focused on the use of beneficial microbes in agriculture, plant, animal, and human health.Read moreRead less
Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising ap ....Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising approach, but its accuracy is far from satisfactory. The software systems developed in this project will be used in structural identification of target proteins in drug design. This will make drug design process more efficient, saving time and cost, potentially saving lives.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less