With the growth of genomic sequencing, scientists are increasingly looking for more effective methods to analyze large genes and gene networks. As a result, a team of scientists from the Institute of Bioinformatics and Evolutionary Studies in the Netherlands has developed a new method to identify and analyze large genes and gene networks.

The new method, called ARGOT, uses a combination of bioinformatics and evolutionary algorithms to study large genes and their networks. ARGOT is able to analyze genetic data more quickly and accurately than previously available methods, and can be used to study the evolution of genes and gene networks.

The scientists found that ARGOT was able to detect large genes and gene networks with over 80% accuracy. Additionally, the method was able to accurately analyze gene networks with up to 10,000 genes, a significant improvement over previous methods.

This new method is a game-changer for genomic research, providing researchers with an effective and efficient tool to analyze large genes and gene networks. With ARGOT, scientists will be able to better understand the evolution and function of genes and gain insights into how diseases are caused and how they can be treated.

Read Full Article Here

source: Phys.org