The team behind the Deciphering Developmental Disorders (DDD) Study, one of the world's largest nationwide rare disease genome-wide sequencing initiatives, have developed a novel computational ...
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Computational biology: Unveiling the secrets of life
Computational biology, a field that has emerged at the intersection of biology, computer science, and mathematics, has revolutionized our understanding of living systems. By leveraging computational ...
Dr. David Buchner is an accomplished geneticist and educator whose career spans more than two decades of research and leadership in human genetics, metabolic disease, and computational genomics. He ...
A new study has developed a powerful computational method that can detect how genes interact with each other to influence complex traits in humans at a scale previously impossible. The new method was ...
A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...
Genome wide association studies (GWAS) have identified hundreds of genome regions containing thousands of genetic variants associated with asthma, but it's still not clear which variants have an ...
Course work and attendance at seminars and journal clubs are the major activities of first year students. Research in a faculty member’s lab or learning clinical genomic data analyses in a hospital ...
A genetic method has been developed to cluster distantly related people, identifying rare genetic variants that can be used to find cases of undiagnosed genetic disease. Researchers from Vanderbilt ...
A graph-based computational tool for detecting previously invisible genetic mutations has been developed. Researchers at the University of California, Los Angeles (UCLA; USA) and the University of ...
The field of genetics is undergoing a quiet revolution, and it’s happening in the laboratories where scientists are learning to resurrect the genetic blueprints of extinct species. What began as an ...
Studying over 100,000 embryos revealed genetic factors behind chromosome segregation issues that lead to aneuploidy, informing future risk screening and intervention.
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