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Since Watson and Crick’s discovery of the structure of DNA, the pace of scientific discovery in life sciences has grown exponentially. This is partly due to the amazing development of technologies, especially in the areas of data acquisition and data analysis.

The advent of microarray technologies, nanotechnology and DNA sequencing techniques have generated massive amounts of data, which would have taken lifetimes to be processed without the power of computers. It has been said that life sciences will be the most computer-intensive scientific field of the 21st century.

The challenges to analyze such data may be recent in the field of life sciences, but tools and solutions already existed in the fields of engineering, mathematics, statistics and computer science. Presented here is a small subset of examples that show how several engineering fields can come together to bring solutions for life sciences’ challenges.

IEEE CS 2022 Report

Hasan Alkhatib, Paolo Faraboschi, Eitan Frachtenberg, Hironori Kasahara, Danny Lange, Phil Laplante, Arif Merchant, Dejan Milojicic, and Karsten Schwan
with contributions by: Mohammed AlQuraishi, Angela Burgess, David Forsyth, Hiroyasu Iwata, Rick McGeer, and John Walz

Reverse Engineering Animal Vision with Virtual Reality and Genetics

By John R. Stowers, Vienna University of Technology and Research Institute of Molecular Pathology, Vienna Biocenter; Anton Fuhrmann, VRVis Zentrum für Virtual Reality und Visualisierung; Maximilian Hofbauer, Martin Streinzer, and Axel Schmid, University of Vienna; Michael H. Dickinson, California Institute of Technology and University of …

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