Computational thinking in the era of big data biology

Schatz, M. C. (November 2012) Computational thinking in the era of big data biology. Genome Biology, 13 (11). p. 177. ISSN 1465-6906

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URL: http://www.ncbi.nlm.nih.gov/pubmed/23194371
DOI: 10.1186/gb-2012-13-11-177

Abstract

It is fall again, and another class of students has arrived in the Watson School of Biological Sciences at Cold Spring Harbor Laboratory (CSHL). Building on the lab's 100-year history as a leading center for research and education, the Watson School was established in 1998 as a graduate program in biology with a focus on molecular, cellular and structural biology, and neuroscience, cancer, plant biology and genetics. All students in the program complete the same courses, centered around these research topics, with an emphasis on the principles of scientific reasoning and logic, as well as the importance of ethics and effective communication. Three years ago the curriculum was expanded to include a new course on quantitative biology (QB) and I, along with my co-instructor Mickey Atwal and other members of the QB program, have been teaching it ever since.

Item Type: Paper
Subjects: bioinformatics
bioinformatics > computational biology
bioinformatics > genomics and proteomics > datasets
CSHL Authors:
Communities: CSHL labs > Schatz lab
Depositing User: Matt Covey
Date: 29 November 2012
Date Deposited: 22 Apr 2014 19:48
Last Modified: 22 Apr 2014 19:48
PMCID: PMC3580488
Related URLs:
URI: http://repository.cshl.edu/id/eprint/29781

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