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Questions and Answers
What is the code of life made up of?
What is the Human Longevity company using machine learning to predict?
What are scientists learning about the eyes?
What is the estimated total number of letters in the genetic code of all living things?
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What did Dr. Craig Venter discover about the human genome?
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Study Notes
- 3 billion DNA letters are needed to build a human
- The code of life is a simple alphabet of four letters, A, T, C, G
- The code of life is found in human cells and is read by scientists
- The code of life helps humans to survive and function
- Dr. Craig Venter sequenced the human genome and discovered that it is composed of 262,000 pages of information
- Human DNA is made up of 3 billion letters.
- Every person is 50% identical to everyone else.
- Human DNA is used to predict traits such as height, eye color, and skin color.
- The Human Longevity company uses machine learning to predict age and face.
- In October, we started to see some signals.
- These signals were a very emotional moment for us.
- The signals are predicting things like a person's gender, age, and ethnicity.
- The machine learning code is helping us to understand how we work, how our body works, and how disease develops.
- This is a huge challenge, and it's shared by thousands of other researchers around the world.
- Scientists are learning more and more about the workings of life and how it works, and they are beginning to understand how our decisions could have a large impact on the future of our species.
- One of the areas scientists are learning more about is the eyes, and they are discovering that the color of an individual's eyes can be determined by a combination of genetics and environment.
- Scientists are also learning about the code of life, which is the total number of letters in the genetic code of all living things. They estimate that there are five million letters of code in all.
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Description
Test your knowledge on human DNA, the genetic code of life, and how it influences traits and predictions using machine learning. Explore the scientific discoveries in genomics and the challenges faced by researchers worldwide.