A new research paper published in the journal Nature Genomics shows how a Princeton University-led team developed a deep learning-based method for searching the human genome for mutations, including their associations with diseases such as autism. ��Many mutations in DNA that contribute to disease are not in actual genes but instead lie in the 99% of the genome once considered ��junk.
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