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Biology, Preface to Biology, Preface to 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.

Material Type:
Module
Author:
OER Librarian
Date Added:
08/12/2021
Biology, The Cell, Cell Reproduction, Cell Division
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By the end of this section, you will be able to:Describe the structure of prokaryotic and eukaryotic genomesDistinguish between chromosomes, genes, and traitsDescribe the mechanisms of chromosome compaction

Subject:
Biology
Life Science
Material Type:
Module
Author:
OER Librarian
Date Added:
08/12/2021
Biology, The Chemistry of Life, Biological Macromolecules, Nucleic Acids
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By the end of this section, you will be able to:Describe the structure of nucleic acids and define the two types of nucleic acidsExplain the structure and role of DNAExplain the structure and roles of RNA

Subject:
Biology
Life Science
Material Type:
Module
Author:
OER Librarian
Date Added:
08/12/2021
Cell Biology: Structure and Functions of the Nucleus, Spring 2010
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The goal of this course is to teach both the fundamentals of nuclear cell biology as well as the methodological and experimental approaches upon which they are based. Lectures and class discussions will cover the background and fundamental findings in a particular area of nuclear cell biology. The assigned readings will provide concrete examples of the experimental approaches and logic used to establish these findings. Some examples of topics include genome and systems biology, transcription, and gene expression.

Subject:
Biology
Life Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Sharp, Phillip
Young, Richard
Date Added:
01/01/2010
Chapter: Epigenetics in Psychology (NOBA)
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By Ian Weaver, Dalhousie University. Early life experiences exert a profound and long-lasting influence on physical and mental health throughout life. The efforts to identify the primary causes of this have significantly benefited from studies of the epigenome—a dynamic layer of information associated with DNA that differs between individuals and can be altered through various experiences and environments. The epigenome has been heralded as a key “missing piece” of the etiological puzzle for understanding how development of psychological disorders may be influenced by the surrounding environment, in concordance with the genome. Understanding the mechanisms involved in the initiation, maintenance, and heritability of epigenetic states is thus an important aspect of research in current biology, particularly in the study of learning and memory, emotion, and social behavior in humans. Moreover, epigenetics in psychology provides a framework for understanding how the expression of genes is influenced by experiences and the environment to produce individual differences in behavior, cognition, personality, and mental health. In this module, we survey recent developments revealing epigenetic aspects of mental health and review some of the challenges of epigenetic approaches in psychology to help explain how nurture shapes nature.

Subject:
Genetics
Psychology
Material Type:
Reading
Author:
Maura Krestar
Date Added:
05/19/2021
Computational Functional Genomics, Spring 2005
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Study and discussion of computational approaches and algorithms for contemporary problems in functional genomics. Topics include DNA chip design, experimental data normalization, expression data representation standards, proteomics, gene clustering, self-organizing maps, Boolean networks, statistical graph models, Bayesian network models, continuous dynamic models, statistical metrics for model validation, model elaboration, experiment planning, and the computational complexity of functional genomics problems.

Subject:
Biology
Computer Science
Information Technology
Life Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Gifford, David
Jaakkola, Tommi Sakari
Date Added:
01/01/2005
DNA Replication in Prokaryotes - Remix of Open Stax resource - to add images -
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This is a remix of the RIce University Open Stax... I made changes to add a numbered list to the steps for accessiblity and added images and attributions.By the end of this section, you will be able to:Explain the process of DNA replication in prokaryotesDiscuss the role of different enzymes and proteins in supporting this process

Subject:
Biology
Life Science
Material Type:
Textbook
Author:
Joanna Schimizzi
Date Added:
04/27/2023
Elements of Mechanical Design, Spring 2009
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" This is an advanced course on modeling, design, integration and best practices for use of machine elements such as bearings, springs, gears, cams and mechanisms. Modeling and analysis of these elements is based upon extensive application of physics, mathematics and core mechanical engineering principles (solid mechanics, fluid mechanics, manufacturing, estimation, computer simulation, etc.). These principles are reinforced via (1) hands-on laboratory experiences wherein students conduct experiments and disassemble machines and (2) a substantial design project wherein students model, design, fabricate and characterize a mechanical system that is relevant to a real world application. Students master the materials via problems sets that are directly related to, and coordinated with, the deliverables of their project. Student assessment is based upon mastery of the course materials and the student's ability to synthesize, model and fabricate a mechanical device subject to engineering constraints (e.g. cost and time/schedule)."

Subject:
Career and Technical Education
Chemistry
Engineering
Genetics
Life Science
Manufacturing
Physical Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Culpepper, Martin
Date Added:
01/01/2009
Foundations of Computational and Systems Biology, Spring 2014
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This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas.

Subject:
Biology
Life Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Burge, Christopher
Fraenkel, Ernest
Gifford, David
Date Added:
01/01/2014
Freshman Seminar: Structural Basis of Genetic Material: Nucleic Acids, Fall 2005
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Since the discovery of the structure of the DNA double helix in 1953 by Watson and Crick, the information on detailed molecular structures of DNA and RNA, namely, the foundation of genetic material, has expanded rapidly. This discovery is the beginning of the "Big Bang" of molecular biology and biotechnology. In this seminar, students discuss, from a historical perspective and current developments, the importance of pursuing the detailed structural basis of genetic materials.

Subject:
Biology
Genetics
Life Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Zhang, Shuguang
Date Added:
01/01/2005
Gene Expression - The Basics
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CC BY
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Express yourself through your genes! See if you can generate and collect three types of protein, then move on to explore the factors that affect protein synthesis in a cell.

Subject:
Genetics
Life Science
Material Type:
Simulation
Provider:
University of Colorado Boulder
Provider Set:
PhET Interactive Simulations
Author:
Ariel Paul
George Emanuel
John Blanco
Kathy Perkins
Mike Klymkowsky
Tom Perkins
Date Added:
08/20/2012
Gene Machine: The Lac Operon
Unrestricted Use
CC BY
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Build a gene network! The lac operon is a set of genes which are responsible for the metabolism of lactose in some bacterial cells. Explore the effects of mutations within the lac operon by adding or removing genes from the DNA.

Subject:
Genetics
Life Science
Material Type:
Simulation
Provider:
University of Colorado Boulder
Provider Set:
PhET Interactive Simulations
Author:
George Spiegelman
Jared Taylor
John Blanco
Kathy Perkins
Noah Podolefsky
Date Added:
05/01/2010