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On July 6, scientists from Lawrence Berkeley National Laboratory (Berkeley Lab) … of proteins in order to conduct more efficient protein sequence alignments. He also aims to detect structural … Deep learning algorithms can vectorize faces… … so, why not proteins?         … The U.S. Department of Energy …

… a condition known as polyploidy. The multiple copies arise from past genome duplication, which occurs in two basic … and the  oilseed crop false flax – genomes that have been sequenced by the JGI – and the common strawberry, which is … clearly identifies the four subgenomes based on non-genic sequences.”  In his words, the history of the strawberry is …

… ‘Dark Matter’ Microbial communities living everywhere from soils and stomachs to the deep sea are capable of doing … the process hinges on referencing to existing genome sequences.  Some of these proteins are what the scientists … that the majority of these protein families belonged to bacteria and viruses, though 6 million of the sequences …

… case, the machine “learned” to identify a certain type of bacterial viruses or phages called inoviruses, which are … and a unique chronic infection cycle. “We’re not sure why we systematically manage to miss them; maybe it’s due to … first worked on a reference dataset that included genome sequences known to be affiliated with the Inoviridae. “What …

… the visit of an esteemed interdisciplinary delegation from the University of Duisburg-Essen (UDE), Germany with … water research. The meeting involved key representatives from the ACTIVE SITES Research Center (ACSI), the Centre for … be measured by IR-spectroscopy and mass spectrometry in sequence in real time at an atomic resolution. We are …