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… or sub-tropical environments, while Corymbia are more abundant in the drier parts of Australia with lower quality … revealed the largest number of TPS genes of any currently sequenced plant, a number closely followed by E. globulus . … list of putative genes from C. citriodora to known TPS gene sequences from Eucalyptus species and other plants. The …
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… worked with a wide range of eukaryotic algae, archaea and bacteria with a view to developing a deeper understanding of sequence-based gene function. … site ties heme availability to carbon metabolism in cyanobacteria Nature Communications 15(1) 3167. 2024 Simirenko et …
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… in fungi. The Science Changing an A, C, T or G in a genome sequence can lead to changes in protein structures and … The analysis revealed that 5mC in some fungal species is abundant in repetitive DNA and transposons in methylated …
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… genomic technologies and to understand genome function in bacteria. … al. 2024. scMicrobe PTA: Near Complete Genomes from Single Bacterial Cells bioRxiv , 2024.01. 30.577819 2. Dicenzo et … 3. Baumgart et al. 2021. Persistence and plasticity in bacterial gene regulation. Nature methods 18 (12), 1499-1505 …
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… Berkeley National Laboratory (Berkeley Lab) has now sequenced and assembled the genomes of these five cotton … insights on crop improvements at a genetic level, including why having multiple copies of their genomes (polyploidy) is … indicate remarkably high overall sequence similarity yet drastically different fiber morphology between …
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… the novel protein families and novel functions in as-yet unveiled microbes. Harnessing the collective power of … 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 …
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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? …
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