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Bioinformatics school training courses in Boston, MA (public, in-house or online) | ||||
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Bioinformatics Algorithms School: Harvard Extension School Venue: Boston Tel.: (617) 495-4024 Living things encode their genetic code in DNA, and use this information to regulate life processes. Bioinformatics is the study of living organisms viewed as information processors. We study algorithms for sequence alignment, motif finding and gene finding, construction of phylogenetic trees, and structure prediction. While students can find implementations of many of these algorithms, a study of the algorithms leads to a better understanding of the assumptions and limitations of existing algor... |
Bioinformatics Format: Online School: Johns Hopkins University, Whiting School of Engineering Venue: Baltimore Tel.: 410-516-4050 EPs Bioinformatics program combines the strengths of the Zanvyl Krieger School of Arts and Sciences Advanced Academic Programs (AAP) and the Whiting School of Engineerings EP to produce graduates who can excel in the field. Expert faculty from both schools prepare students for careers in bioinformatics/computational biology within industry and government organizations. One of the most comprehensive bioinformatics masters programs available anywhere, the program gives stud... |
Bioinformatics Format: Online School: Brandeis University Rabb School of Continuing Studies Venue: Waltham Tel.: 781.736.8787 The explosion of biological data is revolutionizing approaches towards the discovery of the molecular basis of disease. These discoveries are accelerating the development of novel drugs. Broadly-trained scientists with a strong molecular biology background and a comprehensive knowledge of software development are in critical demand. The Graduate Certificate in Bioinformatics is appropriate for students with a life or computer science background. |
Science in Bioinformatics Format: On-site School: Brandeis University Rabb School of Continuing Studies Venue: Waltham Tel.: 781.736.8787 Bioinformatics is the revolutionary merger between computer science and biology. Its techniques are used to analyze the vast amounts of experimental data emerging from genome sequencing efforts, proteomics, gene expression chips, and other data rich experiments. Such analyses will result in the creation of better, more specific drugs on a faster time scale, ultimately improving health and well-being for all of us.
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