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Anatomy and Physiology
Unrestricted Use
CC BY
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Anatomy and Physiology is a dynamic textbook for the two-semester human anatomy and physiology course for life science and allied health majors. The book is organized by body system and covers standard scope and sequence requirements. Its lucid text, strategically constructed art, career features, and links to external learning tools address the critical teaching and learning challenges in the course. The web-based version of Anatomy and Physiology also features links to surgical videos, histology, and interactive diagrams.

Subject:
Anatomy/Physiology
Life Science
Material Type:
Full Course
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
08/15/2021
Biology
Unrestricted Use
CC BY
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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, Genetics, Genes and Proteins, Eukaryotic Transcription
Conditional Remix & Share Permitted
CC BY-NC
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By the end of this section, you will be able to:List the steps in eukaryotic transcriptionDiscuss the role of RNA polymerases in transcriptionCompare and contrast the three RNA polymerasesExplain the significance of transcription factors

Subject:
Biology
Life Science
Material Type:
Module
Author:
OER Librarian
Date Added:
08/12/2021
Biology, Genetics, Genes and Proteins, Prokaryotic Transcription
Conditional Remix & Share Permitted
CC BY-NC
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By the end of this section, you will be able to:List the different steps in prokaryotic transcriptionDiscuss the role of promoters in prokaryotic transcriptionDescribe how and when transcription is terminated

Subject:
Biology
Life Science
Material Type:
Module
Author:
OER Librarian
Date Added:
08/12/2021
Biology, Genetics, Genes and Proteins, RNA Processing in Eukaryotes
Conditional Remix & Share Permitted
CC BY-NC
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By the end of this section, you will be able to:Describe the different steps in RNA processingUnderstand the significance of exons, introns, and splicingExplain how tRNAs and rRNAs are processed

Material Type:
Module
Author:
OER Librarian
Date Added:
08/12/2021
Biology, Genetics, Genes and Proteins, The Genetic Code
Conditional Remix & Share Permitted
CC BY-NC
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By the end of this section, you will be able to:Explain the “central dogma” of protein synthesisDescribe the genetic code and how the nucleotide sequence prescribes the amino acid and the protein sequence

Subject:
Biology
Life Science
Material Type:
Module
Author:
OER Librarian
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
Computational Functional Genomics, Spring 2005
Conditional Remix & Share Permitted
CC BY-NC-SA
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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