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Addressing the Digital Divide in Contemporary Biology: Lessons from Teaching UNIX
Serghei Mangul1, Lana S Martin2, Alexander Hoffmann3
1Department of Computer Science, University of California Los Angeles, 580 Portola Plaza, Los Angeles, CA 90095, USA; Institute for Quantitative and Computational Biosciences, Boyer Hall, 611 Charles Young Drive, UCLA, Los Angeles, CA 90095, USA.
Abstract:
Life and medical science researchers increasingly rely on applications that lack a graphical interface. Scientists who are not trained in computer science face an enormous challenge analyzing high-throughput data. We present a training model for use of command-line tools when the learner has little to no prior knowledge of UNIX.
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