Amber Biology will be at Boston Computational Biology and Bioinformatics meetup tomorrow, Thurs November 14th at Portico Brewing in Somerville’s Union Square area. Come and say hi!
Read MoreAmber Biology is proud to announce our open-access peer-reviewed publication "PyPop: a mature open-source software pipeline for population genomics" in the journal Frontiers in Immunology
Read MoreAmber Biology announces the release of PyPop 1.0.0, an open-source pipeline used widely in biomedical and evolutionary biology communities, and cited in over 300 peer-reviewed studies
Read MoreThe commercial development of therapeutic antibodies is not without its risks.
Read MoreAre 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.
Read MorePython for the Life Sciences is on the shelves and now a featured book at the MIT Coop Bookstore in Kendall Square, Cambridge, MA!
Read MoreOur book Python for the Life Sciences is now available on Amazon in both eBook and softcover formats.
Read MoreAmber Biology Partner, Alex Lancaster, will be presenting at the Statistical Bioinformatics Seminar at the Charles Perkins Centre at the University of Sydney.
Read MoreHere we develop a simple Python function to help us evaluate the performance of biomarkers in diagnosing disease.
Read MoreAmber Biology was recently commissioned by a biotechnology company, to build a dynamic, agent-based model of a biological pathway.
Read MoreAmber Biology is presenting at the Boston Python Meetup, on the modeling of biological pattern formation ...
Read MoreThe great majority of life scientists still often use calculators or spreadsheets, for handling their research data ...
Read MoreA little while back on The Digital Biologist, we published a 2-part introduction to Bayes’ Theorem ...
Read More… the life science Big Data scene is largely Big Hype.
Read MoreData is not knowledge. Data can reveal relationships between events –
Read MoreCheap “computing as a utility” has the potential to bring scientific large-scale analyses within reach of smaller organizations ...
Read MoreAs designers of therapeutic proteins and antibodies, how can we take advantage of an immunological “short-cut”, to make our molecules less immunogenic?
Read MoreIt’s often widely assumed that decisions made by algorithms are more “neutral” and “fair” than those made by people.
Read MoreActionable insights that can be gained by the application of Bayesian analysis to the design of biomarkers ...
Read MoreA story about how a challenging genome sequencing project demonstrated once again, what an awesome tool Python can be ...
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