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Biology
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Biology is designed for multi-semester biology courses for science majors. It is grounded on an evolutionary basis and includes exciting features that highlight careers in the biological sciences and everyday applications of the concepts at hand. To meet the needs of today’s instructors and students, some content has been strategically condensed while maintaining the overall scope and coverage of traditional texts for this course. Instructors can customize the book, adapting it to the approach that works best in their classroom. Biology also includes an innovative art program that incorporates critical thinking and clicker questions to help students understand—and apply—key concepts.

Subject:
Biology
Life Science
Material Type:
Full Course
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
08/12/2021
Biology, The Chemistry of Life, Biological Macromolecules, Proteins
Conditional Remix & Share Permitted
CC BY-NC
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By the end of this section, you will be able to:Describe the functions proteins perform in the cell and in tissuesDiscuss the relationship between amino acids and proteinsExplain the four levels of protein organizationDescribe the ways in which protein shape and function are linked

Subject:
Biology
Life Science
Material Type:
Module
Author:
OER Librarian
Date Added:
08/12/2021
Topics in Computational and Systems Biology, Fall 2010
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CC BY-NC-SA
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This is a seminar based on research literature. Papers covered are selected to illustrate important problems and approaches in the field of computational and systems biology, and provide students a framework from which to evaluate new developments. The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB Ph.D. program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology.

Subject:
Biology
Computer Science
Information Technology
Life Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Burge, Christopher
Gilbert, Wendy
Gore, Jeff
Tidor, Bruce
White, Forest
Date Added:
01/01/2010