NVIDIA and HarvardScientists from China have made a major breakthrough in genetic research. Researchers nadir and unicellular They developed a deep learning toolkit that could significantly reduce the time and cost required to run experiments.
Nature CommunicationsAccording to a study published in AtacWorks the named toolkit, NVIDIA‘s Tensor Core GPUThanks to his s, he can infer across the entire genome, a process that takes more than two days in just half an hour.
AtacWorks Using dozens of cells can achieve the same results
AtacWorksis a well-established method designed to find open spaces in the genome of healthy and diseased cells. ATAC-seq working with. It “Open spaces”, a person DNAIt is referred to as subdivisions of its which are used to determine and activate certain functions. This part of a person’s genome, Alzheimer’s disease, heart disease or cancer It is stated that it is the part that can give an indication to scientists as to whether or not it can happen.
ATAC-sec usually requires the analysis of tens of thousands of cells. But AtacWorks Using dozens of cells can achieve the same results. Researchers also AtacWorksThey also applied to a stem cell dataset that produces red and white blood cells, subtypes that cannot typically be studied using conventional methods. However, with AtacWorks, associated with white blood cells and red blood cells, respectively. DNAThey were able to identify separate parts of.
The ability to analyze the genome faster and cheaper may result in specific mutations that can lead to certain diseases, or biomarkers It is predicted that it will go a long way in determining. The ability that is thought to help researchers understand how the disease works is expected to even aid drug discovery.
NVIDIA researcher and lead author of the article, Avantika Lal, mentioned the issue in his statement with the research;
“In the case of very rare cell types, it is not possible to examine the differences in their DNA using existing methods. AtacWorks not only helps reduce the cost of collecting chromatin accessibility data, it can also open up new possibilities in drug discovery and diagnosis. ”