Cracking the (bio)code

Resources for research careers in computational biology & bioinformatics

With the advent of new technologies for collecting biological data and advances in computational resources, biology is becoming a data-driven, quantitative science. There is an increasing demand for biologists with the analytical and programming skills necessary to analyze effectively large volumes of data (e.g., genetic information, geographic distribution, remote sensing), and develop novel algorithms to extract valuable knowledge from observed data.

This website provides links to resources for aspiring computational biologists, including workshops and tutorials on computer programming, where to find information about available academic positions (Ph.D, postdoc, tech), funding opportunites, important computational biologists to follow, etc.

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The National Institute of Health (NIH) has provided formal definitions for computational biology and bioinformatics. In this website, we provide general information for both fields.

Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems.

Bioinformatics involves the research, development, or application of computational tools and approaches for expanding the use of biological, medical, behavioral or health data, including those to acquire, store, organize, archive, analyze, or visualize such data.

Click here for the original NIH document