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Machine Learning and Big Data Are Changing the Face of Biological Sciences

Until recently, the wet lab has been a crucial component of every biologist. Today's advances in the production of massive amounts of data and the creation of machine-learning algorithms for processing that data are changing the face of biological science—making it possible to do real science without a wet lab. David Heckerman shares several examples of how this transformation in the area of genomics is changing the pace of scientific breakthroughs.


Via Szabolcs Kósa, Dr. Stefan Gruenwald
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davidgibson's curator insight, May 28, 2013 11:05 PM

This 36 min video is well worth the time spent - to get an idea (hopefully a transferrable one) about Big Data and the frontiers of science. In this case both "wet lab" (test tubes microscopes) and "dry lab" (computer modeling with machine learning) and needed and so is content as well as computational literacy.

Serena Fuchs's curator insight, June 26, 2013 3:43 PM

The low-hanging fruit, SNPs, have been picked off.  Now much research is using larger data sets to look for significant variants, and the compute power needed can increase exponentially. Look to dog breeders as the pioneers of controlling for known variables to reduce the false positive results. 

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How could Biotechnology improve your life?

How could Biotechnology improve your life? | Science, Technology, and Current Futurism | Scoop.it
Experts on the World Economic Forum’s Council on Biotechnology have selected 10 developments which they believe could help not only meet the rapidly growing demand for energy, food and healthcare, but also increase productivity and create new jobs,...
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