Data is not knowledge. Data can reveal relationships between events –
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Cheap “computing as a utility” has the potential to bring scientific large-scale analyses within reach of smaller organizations ...
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it’s great to see researchers taking things into their own hands and getting behind a truly grassroots organization ...
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As designers of therapeutic proteins and antibodies, how can we take advantage of an immunological “short-cut”, to make our molecules less immunogenic?
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Scott Berkun’s book “The Myths of Innovation” is a refreshing and unpretentious take on this overused buzzword..
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It’s often widely assumed that decisions made by algorithms are more “neutral” and “fair” than those made by people.
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The sad passing of evolutionary computation and genetic algorithm pioneer John H. Holland earlier this week ...
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The “round hole” that managing an R&D program presents to the “square peg” that is the traditional management model.
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The application of calculus to the deterministic modeling of biological systems however, can be problematic ...
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Actionable insights that can be gained by the application of Bayesian analysis to the design of biomarkers ...
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Why is Bayes’ Theorem so useful and what does it have to teach us as life scientists?
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Biological modeling is not yet in the mainstream of biological research in the way that it is in other scientific and technical areas like physics and engineering ...
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A story about how a challenging genome sequencing project demonstrated once again, what an awesome tool Python can be ...
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Early developments in biological modeling hold the potential to forge a knowledge revolution in biology and to bring modeling into the mainstream of biological research …
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If you’re a biological modeler, chances are there are two words that keep you up at night. Those two words are combinatorial complexity …
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