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The University of Adelaide has developed a new software tool, CoreDetector, to enhance the capabilities of genome sequencing, particularly in plant breeding. This development is poised to significantly aid farmers by enabling the growth of more resilient crops and adapting to the ever-changing climate and landscape.
A Leap in Genome Sequencing
CoreDetector is designed to handle complex genome-sequencing tasks. These include aligning large and evolutionarily diverse plant genomes, a process that has traditionally been a computational challenge. "Whole genome alignment of species remains an important method for determining structural and sequence variations of populations," explained Dr. Julian Taylor, a co-leader of the project from the University of Adelaide.
The tool's design incorporates computational parallelization, allowing it to efficiently perform pairwise sequence alignment between population member genomes. This functionality makes CoreDetector versatile, able to manage genomes ranging from the relatively small, such as kilobyte bacteria genomes, to the extensive gigabyte plant genomes like wheat. It also supports diploid organisms, including humans and other animals.
Accessibility and Impact
Published in the journal Bioinformatics, CoreDetector is also available on GitHub, ensuring it is free and accessible. This move is expected to benefit the plant pre-breeding and breeding research community, especially those working with more complex genomes.
Being Java-based, the software boasts easy portability across different operating systems. Dr. Fruzangohar, another co-leader of the project, highlights the significance of this development. “As high-throughput sequence technologies become more advanced and more species can be sequenced, we believe free access to CoreDetector will continue to allow rapid advancement in genetic research of diverse populations," he stated.
This tool not only enhances genome sequence analysis for plant breeders and researchers but also integrates smoothly into analytical pipelines, improving genetic understanding of biological organisms.
Ongoing Developments at the Biometry Hub
Dr. Taylor and Dr. Fruzangohar are part of the Biometry Hub at the University's School of Agriculture, Food, and Wine. This Hub focuses on developing statistical models and computational tools to address biological questions relevant to the industry.
Looking ahead, the team is already planning further enhancements to CoreDetector. Dr. Taylor shares their future goals: "We aim to extend CoreDetector's theoretical and computational framework to obtain the core-genome plus accessory sequences of a population." This comprehensive set, known as the pan-genome, is the next frontier for the team. Collaborating with bioinformaticians from external organizations, they aim to develop a sophisticated heuristic algorithm for constructing pan-genomes efficiently.
A Leap in Genome Sequencing
CoreDetector is designed to handle complex genome-sequencing tasks. These include aligning large and evolutionarily diverse plant genomes, a process that has traditionally been a computational challenge. "Whole genome alignment of species remains an important method for determining structural and sequence variations of populations," explained Dr. Julian Taylor, a co-leader of the project from the University of Adelaide.
The tool's design incorporates computational parallelization, allowing it to efficiently perform pairwise sequence alignment between population member genomes. This functionality makes CoreDetector versatile, able to manage genomes ranging from the relatively small, such as kilobyte bacteria genomes, to the extensive gigabyte plant genomes like wheat. It also supports diploid organisms, including humans and other animals.
Accessibility and Impact
Published in the journal Bioinformatics, CoreDetector is also available on GitHub, ensuring it is free and accessible. This move is expected to benefit the plant pre-breeding and breeding research community, especially those working with more complex genomes.
Being Java-based, the software boasts easy portability across different operating systems. Dr. Fruzangohar, another co-leader of the project, highlights the significance of this development. “As high-throughput sequence technologies become more advanced and more species can be sequenced, we believe free access to CoreDetector will continue to allow rapid advancement in genetic research of diverse populations," he stated.
This tool not only enhances genome sequence analysis for plant breeders and researchers but also integrates smoothly into analytical pipelines, improving genetic understanding of biological organisms.
Ongoing Developments at the Biometry Hub
Dr. Taylor and Dr. Fruzangohar are part of the Biometry Hub at the University's School of Agriculture, Food, and Wine. This Hub focuses on developing statistical models and computational tools to address biological questions relevant to the industry.
Looking ahead, the team is already planning further enhancements to CoreDetector. Dr. Taylor shares their future goals: "We aim to extend CoreDetector's theoretical and computational framework to obtain the core-genome plus accessory sequences of a population." This comprehensive set, known as the pan-genome, is the next frontier for the team. Collaborating with bioinformaticians from external organizations, they aim to develop a sophisticated heuristic algorithm for constructing pan-genomes efficiently.