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Attending the ISCT Presidential Plenary: A Scholarly World: View on Cell & Gene Discovery & Deployment

https://lnkd.in/eUhmRzSd Delighted to have a wonderful discussion with Professor John Wyatt on human gene editing and the breakthroughs it can bring on Unbelievable

To operate with a 'GENERATION', you must understand that 'GENERATION = GENE+RATION = their GENETIC make up & RATIONALE..

Learn more about critical variables and strategies for gene editing experiments from our expert, Jacob Lamberth during our upcoming webinar hosted by The Scientist on October 16th, 11:00 AM - 12:00 PM ET. Save your seat today!

When it comes to gene editing, science communication is as important as ever, but research shows the questions being answered on stakeholders’ FAQ pages are not the ones the public are asking. Read more here: https://lnkd.in/eSReTdpn #ScienceCommunication #GeneEditing

Greater flexibility– broader access to genome editing. We offer our partners patent-protected, next generation gene editing tools, ensuring unlimited genome access. An advantage of our diverse nuclease collections is in the diversity of Protospacer Adjacent Motifs (PAMs), which is key to making any edit, anywhere possible. Unlock your gene editing potential at Life Edit.

To acquire a better comprehension of complex evolutionary relationships among subspecies, sophisticated gene analysis should be applied to distinguish synonymous and non-synonymous substitution and parsimony-informative sites. #gene_analysis #synonymous_substitutions #nonsynonymous_substitution #phylogenetic_analysis #Taxonomy #SNPs

What's Gene Delivery? What's a Vector/Plasmid? 🤔 Watch the full video, "How to Create Effective Vectors for Gene Delivery," to accelerate your research: https://lnkd.in/gQEt43Vi 🧬

AlphaFold solved what seemed an impossible problem for a hundred years, predicting the structure of a protein from its sequence. Apart from the incredible achievement three years ago, the research has moved on. Today Large Language Models are everywhere and can ingest huge amounts of text and then perform tasks efficiently and accurately. We forget that DNA and protein are the language of life (4 and 20 characters respectively). Why not use LLMs with these sequences? Why limit ourselves to using them to predict the structure of a protein? Three years after AlphaFold2, LLMs trained with DNA and protein sequences are about to change biology and open perspectives as gene editing for diseases. I discuss it from this perspective on Towards Data Science

GeTeSEPdb: A comprehensive database and online tool for the identification and analysis of gene profiles with temporal-specific expression patterns. Read the article here: https://lnkd.in/dXhmytkk