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Cave Coronavirus in Wuhan Lab Seeded COVID – The Truth Has Always Been Out There, in the Genetics

PLOS: DNA Science

Experiments at the Wuhan facility were done at the lowest two of the four standard biosafety levels, which were established at the dawn of recombinant DNA research in the 1970s. The Likely Predecessor of SARS-CoV-2 – From my Past Blog Posts I wrote 100+ DNA Science blog posts during the pandemic about the virus.

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Next Generation Sequencing (NGS): why is quantifying nucleic acids important? | BMG LABTECH

BMG Labtech

These numbers reflect impressive developments in DNA sequencing technologies but in most cases represent the immediate costs of consumables on the sequencing instrument. 2 DNA sequencing is also reliant on sample processing and DNA library preparation before sequencing as well as bioinformatics and data analysis after sequencing.

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Eclectic Genomics: Cat Flu, Dolphin Adaptation to Climate Change, Predicting Cancer, and Diagnosing Rare Disease

PLOS: DNA Science

Genomics applies to all species, revealing evolution in action, because we all use the same genetic code – that is, the correspondence between DNA sequences and the amino acid sequences of proteins. Cats and Bird Flu Comparing DNA sequences is a little like linguistic research that connects languages.

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Kickstarting the use of AI for biotechs: part two

Drug Target Review

2 AlphaFold 3 has been built to model DNA, RNA and smaller molecules (ligands). Google DeepMind’s new AI can model DNA, RNA, and ‘all life’s molecules’. In 2003, he was selected by EE Times as one of the top 13 most influential people in the semiconductor industry. Alphafold 3.0:

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Defense-Forward Biosecurity

Codon

Allison Berke makes the case for real-time DNA sequencing and AI tools to detect pathogens before they spread widely. Reading DNA The first step in detecting a novel pathogen is recognizing it as an anomaly amidst a noisy background of other material. After copying the DNA to form a big pool, each piece is sequenced.

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Levers for Biological Progress

Codon

Scientists are already building a model that can, for example, look at which RNA molecules are expressed in a cell at t=0 and predict how those molecules will change at t=1. Synthesizing a single human protein-coding gene costs several hundred dollars and even a simple PCR machine (used for amplifying DNA) costs between $1,500 and $50,000.

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