Patterns and processes of evolution. How evolution and natural selection are reflected in the similarities and differences of organisms.

This course does not seek to provide answers to ethical questions. Instead, the course hopes to teach students two things. First, how do you recognize ethical or moral problems in science and medicine? When something does not feel right (whether cloning, or failing to clone) — what exactly is the nature of the discomfort? What kind of tensions and conflicts exist within biomedicine? Second, how can you think productively about ethical and moral problems? What processes create them? Why do people disagree about them? How can an understanding of philosophy or history help resolve them? By the end of the course students will hopefully have sophisticated and nuanced ideas about problems in bioethics, even if they do not have comfortable answers.

This exercise contains two interrelated modules that introduce students to modern biological techniques in the area of Bioinformatics, which is the application of computer technology to the management of biological information. The need for Bioinformatics has arisen from the recent explosion of publicly available genomic information, such as that resulting from the Human Genome Project.

On its own, a huge DNA sequence is a meaningless pile of data — so, how do biologists figure out what it means? They turn to the power of bioinformatics! In this episode, we’ll learn what bioinformatics is, how it works, and how scientists have used it to better understand everything from evolution to a viral epidemic.
Chapters:
Introduction: Pizza Data
Bioinformatics
Algorithms
The Human Genetic Code
The BRCA1 Gene
Transcriptomes
The Zika Virus
Bioinformatics & Programming
Review & Credits
Credits

This course is a continuation of Bioinformatics I. Topics include gene expression, microarrays, next- generation sequencing methods, RNA-seq, large genomic projects, protein structure and stability, protein folding, and computational structure prediction of proteins; proteomics; and protein-nucleic acid interactions. The lab component includes R-based statistical data analysis on large datasets, introduction to big data analysis tools, protein visualization software, internet-based tools and high-level programming languages.

This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal processing, network theory, machine learning, robotics and other domains will be expounded upon.

What is bioinformatics and where does it fit with bench-based life science research? Find out more about bioinformatics tools and resources that are available and how you can start to apply them in your research.

By the end of the course you will be able to:
Assess the role of bioinformatics in molecular science.
Describe the key features of primary and secondary databases.
List strategies for describing data consistently.
Identify some of the different types of data analysis that can be applied to solving biological problems.

The EMBL-EBI Job Dispatcher framework (https://www.ebi.ac.uk/services) provides free access to several core Bioinformatics tools and related data, via the web or programmatically via Web Services APIs. In this webinar, we will give an overview of the Web Interface and RESTful API. We will then explore how to use our Sample Clients to perform various bioinformatics analysis, and how we can leverage CWL to run analysis workflows.

Who is this course for?
This webinar is aimed at individuals at all levels of expertise, particularly those interested in learning how to use our Web Services programmatically.

Biological anthropology, also known as physical anthropology, is a scientific discipline concerned with the biological and behavioral aspects of human beings, their related non-human primates and their extinct hominin ancestors. It is a subfield of anthropology that provides a biological perspective to the systematic study of human beings. This textbook explores evolutionary theory, including the core concepts of basic genetics and the modern synthesis of evolution. Students will examine, critically evaluate and explain scientific claims about the origins of humankind and modern human variation as well as biocultural evolution. Students will develop critical thinking and communication skills through the application of essential anthropological approaches, theories, and methods.

Short Description:
Laboratory activities in this workbook are presented as chapters each of which could either be highly specialized, or generic. The approach and the level of difficulty will vary based on instructors’ preferences and more importantly availability and quality of the materials and equipment available in the laboratory.

Long Description:
Each laboratory activity follows a lecture which is envisioned to provide additional detailed information (already mostly or partially covered in a textbook assigned by a professor for Biological Anthropology theory course) regarding scheduled topics to be covered in the laboratory by offering further and in-depth guidance needed for the laboratory setting.

Word Count: 5432

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Chemical Biology research uses the tools of chemistry and synthesis to understand biology and disease pathways at the molecular level. Advanced Biological Chemistry interests include diverse topics such as nucleic acids, DNA repair, bioconjugate chemistry, peptides and peptidomimetics, glycoscience, biomolecular structure and function, imaging, and biological catalysis. Biophysical Chemistry represents the union of Chemistry, Physics, and Biology using a variety of experimental and theoretical approaches to understand the structure and function of biological systems.

This course covers sensing and measurement for quantitative molecular/cell/tissue analysis, in terms of genetic, biochemical, and biophysical properties. Methods include light and fluorescence microscopies; electro-mechanical probes such as atomic force microscopy, laser and magnetic traps, and MEMS devices; and the application of statistics, probability and noise analysis to experimental data. Enrollment preference is given to juniors and seniors.

This template is meant to be a guide for Nebraska Teachers when creating Units of Instruction for the BlendEd Best Practices Project. Headings and/or topics not included in the lesson plan should be marked N/A.

This video segment from Evolution: "Extinction!" shows the impact of invasive species on native ecosystems.

You might think a self regulating factory sounds pretty unbelievable, but that’s pretty much exactly how our bodies work! Our bodies are full of regulatory mechanisms that keep all the organic molecules we need to live in balance. In this episode of Crash Course Organic Chemistry, we’ll look at the building blocks that form these biological polymers, including carbohydrates, proteins, and DNA!

This 26-page lesson plan, published in a partnership with the University of Wisconsin-Madison, Carolina Biological, and Concord Consortium, guides educators through teaching a lesson that accompanies "using Genetics with Data Science and Three-Dimensional Teaching". It describes lesson outcomes and they NGSS standards that align with them, as well as offers a formative assessment of student learning. In particular, this lesson plan covers engaging students in the phenomenon, using CODAP to analyze class data, and gamete formation, and offers examples of sample student work. For more information on how to implement this lesson, Infusing Genetics With Data Science and Three-Dimensional Teaching is available to view separately.

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.

Biology is the science that studies life, but what exactly is life? This may sound like a silly question with an obvious response, but it is not always easy to define life. For example, a branch of biology called virology studies viruses, which exhibit some of the characteristics of living entities but lack others. It turns out that although viruses can attack living organisms, cause diseases, and even reproduce, they do not meet the criteria that biologists use to define life. Consequently, virologists are not biologists, strictly speaking. Similarly, some biologists study the early molecular evolution that gave rise to life; since the events that preceded life are not biological events, these scientists are also excluded from biology in the strict sense of the term. From its earliest beginnings, biology has restled with these questions: What are the shared properties that make something “alive”? And once we know something is alive, how do we find meaningful levels of organization in its structure?

This course will introduce biology to non-science majors, which provides an introduction to biochemistry, cell biology, genetics, evolution, biodiversity, physiology, ecology, and environmental biology.In this course we will actually be doing biological research.  We will be working on researching real-life problems and the ways they may be solved.  You will be working online with teammates to complete background research and solve problems.