Are you a life science researcher who would love to use Python in your research, but have no prior coding experience? This intensive, live, 3-day online course was designed for you.
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Ronin Institute seminar on cellular modeling from Amber Biology’s Alex Lancaster is now up on the Institute’s YouTube channel
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Here’s a simple but illuminating population dynamics model, the central algorithm for which can be implemented in only 5 lines of Python.
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There are excellent reasons for biologists to consider looking beyond differential equations as their tool of choice for modeling and simulating biological systems.
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Amber Biology Partner, Alex Lancaster, will be presenting at the Statistical Bioinformatics Seminar at the Charles Perkins Centre at the University of Sydney.
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Here we develop a simple Python function to help us evaluate the performance of biomarkers in diagnosing disease.
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A brief video demo of a collaborative, cloud-based biological modeling platform running in a web browser.
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All Biology is Computational Biology makes an passionate case that computational biologists contribute crucial conceptual tools …
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Amber Biology is presenting at the Boston Python Meetup, on the modeling of biological pattern formation ...
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The great majority of life scientists still often use calculators or spreadsheets, for handling their research data ...
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A little while back on The Digital Biologist, we published a 2-part introduction to Bayes’ Theorem ...
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A new paper involving Amber Biology consultants, illustrates the power of bioinformatics to find intriguing features in proteomes …
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… the life science Big Data scene is largely Big Hype.
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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 often widely assumed that decisions made by algorithms are more “neutral” and “fair” than those made by people.
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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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