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SubscribeCompGen Team Develops Faster Algorithms to Analyze Genomic Associations
The genome-wide association study (GWAS) has great potential to facilitate the identification of genomic loci underlying phenotypic variability and disease susceptibility. Although successful in elucidating the genomic sources of a wide range of agronomically important traits and human diseases, the statistical approaches employed in a typical GWAS assume a potentially over simplistic model of the relationship between genes and traits. (more…)
CompGen Team Builds Ancestral Trees to Determine Disease-Causing Genetic Variants
Many of our most widespread diseases, such as diabetes, cancer, cardiovascular disease, and mental illness, are associated with variants in our genes. How do these variants in our genomes carry across generations, and how do they ultimately affect our health? University of Illinois researchers are trying to unlock the mystery. (more…)
Illinois CompGen and Harvard T. H. Chan School of Public Health join forces for a detailed review of Isaac, Illumina’s variant calling workflow
The pace of implementing personalized medicine is increasing. Genomics facilities across the country will likely face the challenge of sequencing hundreds of individual genomes per day in the near future. (more…)
Expanding the Biology Toolkit with Computing Power for Genomics
Genomics research is undergoing a paradigm shift thanks to the development of a myriad of new high-throughput systems for massive data acquisition. (more…)