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… of proteins in order to conduct more efficient protein sequence alignments. He also aims to detect structural similarities in proteins that low sequence identity may belie. The technology he’s using is … Deep learning algorithms can vectorize faces… … so, why not proteins?         … The U.S. Department of Energy …

… of SAR324 cells and their gene expression, the team then sequenced community genomes and expressed gene transcripts (metagenomes, metatranscriptomes), as well as the genomes of single cells of … ecotypes because, historically, they have used the sequence of a “marker gene,” namely the 16S ribosomal RNA …

… with a view to developing a deeper understanding of sequence-based gene function. … B.Sc. (HONS) – University of … tool for targeted and genome-scale gRNA design and sequence extraction for prokaryotes and eukaryotes. … on protein stress responses and overlap with other stress transcriptomes. The Plant Journal . 84: 5, 974-988. 2015 …

… with a complex genome . Now, high-quality reference genome sequences of the male and female plants, each representing a … comes from finally having an answer to the question, “Why bother keeping this?” For Stuart McDaniel’s lab at the … Pangea. McDaniel’s lab continues to work on the enigma of why the ancient moss sex chromosomes continue to evolve so …