Does anyone here have experience in assembling genomes from metagenomic contigs? I have found that this protocol, which is optimized for AMD datasets, works really well for one of our samples (I got two >90% complete genomes out of it). However, I haven't seen much success with our other samples, which are larger and represent perhaps slightly more complex communities. So anyway, if somebody here has experience with this, I'd love to hear some suggestions especially concerning what training input parameters should be tweaked, and how. Thanks.
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The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...-
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Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...-
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04-04-2024, 04:25 PM -
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