Bacterial Morphology Chart. Poster of full color micrographs depicting basic bacterial shapes and arrangements. x
i complain alot when it comes to uni and my course, but not gonna lie, here on my final year i've started to fall in love with it again, the way the fascination started when i was younger and learning new things was exciting.
throughout learning it always felt like i was not built for it, that I just cannot for the life of me focus and dedicate myself on anything. and i was just doubting myself and i should change courses or drop out because I was not meant to do this. and now on my second last semester, things kinda clicked. It may be hard for me to understand and learn, but it's worth it. To see the universe in all of its beauty, its ugliness, its complexity, its charm; it's a struggle but I'll endure it for you.
and I find myself really hoping I get to continue down in the stream of sciences and contribute to something for nature and for humanity as well, or at least deepen my understanding of how this universe works and widen my view of how intricate and special this world we live in actually is, how caring it is, how every single thing is worth something, and nothing from nature is ever truly useless
Scientists from BGI-Research developed a new version of the Cultivated Genome Reference (CGR), a repository of high-quality draft genomes of the human gut microbiome. The current version of CGR, which is CGR2, has been further expanded to incorporate numerous high-quality draft genomes generated from cultivated bacteria. CGR2 classifies previously unidentified species and uncovers the functional and genomic diversity of bacterial strains. An in-depth analysis of carbohydrate-active enzymes (CAzymes) reveals the phyla with the largest and most diverse repertoires of these enzymes. CGR2 also enabled the identification of genes involved in the synthesis of secondary metabolites in the gut microbiome. The unraveling of the gut microbiome genomic landscape will enable the development of therapeutics and provide a deep insight into the evolution of the human gut microbiome.
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Looking at what concentrations my antibiotics killed resistant Staphylococcus bacteria.
Higher antibiotic concentrations are on the right side, where there is clear liquid with no bacteria growth. It works!
what is she doing!! ~~~~ why!!!
hello hellsitegenetics. do u know how to stop wanting to eat electrophoresis gel
the craving never stops you just have to get good at eating it when the lab supervisors arent looking
An innovative artificial intelligence program called CLEAN (contrastive learning–enabled enzyme annotation) has the ability to predict enzyme activities based on their amino acid sequences, even if the enzymes are unfamiliar or inadequately understood. The researchers have reported that CLEAN has surpassed the most advanced tools in terms of precision, consistency, and sensitivity. However, a deeper understanding of enzymes and their roles would be beneficial in a number of disciplines, including genetics, chemistry, pharmaceuticals, medicine, and industrial materials.
The scientists are using the protein language to forecast their performance, similar to how ChatGPT uses written language data to generate predictive phrases. Almost all scientists desire to comprehend the purpose of a protein as soon as they encounter a new protein sequence. Furthermore, this tool will aid researchers in promptly recognizing the suitable enzymes needed to manufacture chemicals and materials for various applications, be it in biology, medicine, or industry.
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