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 sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...-
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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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