The rapid advancement of DNA sequencing technologies has led to an explosion of genomic data, with over 100 petabytes of information currently stored in central databases such as the American SRA and the European ENA. This move reflects broader industry trends towards big data and precision medicine. However, searching through these vast amounts of data has been a significant challenge for researchers, requiring massive computing power and resources.
To address this issue, computer scientists at ETH Zurich have developed a digital tool called “MetaGraph,” which enables efficient and accurate searching of petabase-scale sequence repositories. As Professor Gunnar Rätsch notes, “It’s a kind of Google for DNA.” This innovative search engine allows researchers to quickly identify specific DNA sequences, including those related to antibiotic resistance and unknown pathogens.
The MetaGraph tool uses complex mathematical graphs to index and compress the data, reducing storage requirements by a factor of 300. This approach enables researchers to search through millions of DNA sequences in a matter of seconds, making it an invaluable resource for the scientific community. With the ability to search through vast amounts of genomic data, researchers can accelerate their discoveries, ultimately leading to breakthroughs in our understanding of human diseases and the development of new treatments.
The implications of this technology extend beyond the scientific community, as it has the potential to become a catalyst for research into antibiotic resistance and new pandemics. By identifying resistance genes or useful viruses that can destroy bacteria, researchers can develop more effective treatments and prevention strategies. As Dr. André Kahles notes, “We are pushing the limits of what is possible in order to keep the data sets as compact as possible without losing necessary information.”
With half of the world’s sequence data sets already available on MetaGraph, and the rest expected to be indexed by the end of the year, this search engine is poised to revolutionize the field of DNA research. The fact that MetaGraph is available as open source makes it an attractive tool for pharmaceutical companies and potentially even private individuals in the future.
Source: Official Link