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Bioinformatics Activity Bank
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Screenshot This resource is designed for educators hoping to teach students about the world of biotechnology and bioinformatics, and the lesson plans here are top-notch. The lessons span a variety of topics, including applied mathematics, DNA, and genetics. Visitors can scroll through six sections, including Organisms and Evolution or Proteins and Proteomics. Visitors can scroll through each area, keeping in mind that each activity is categorized by grade level, subject area, and type. For those looking for specific areas, they will find a set of activity filters that can be used to easily identify specific resources. Some of the activity offerings here include "Genetic Disorder Research," "What is...
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Hands on CERN
The project Hands-on-CERN was developed at Stockholm University to educate high school students and teachers about the fundamental processes inside matter and...
Radioanalytical Chemistry
This website provides a course on the use of radionuclides in analytical chemistry. Types of radioactive decay are discussed as well as the techniques of...
National Geographic Education: The...
How does the sun determine the Earth's seasons? This is the question that the National Geographic Education site seeks to answer with a lively 35-minute...
Bottom-Up Nanomanufacturing: Self...
This overview of nanotechnology is presented by the NaMCATE project. "The process of self assembly is defined as the spontaneous association of numerous...
Mount Apatite Park, Auburn, Maine
This guide discusses the geology, mineralogy, and mineral collecting opportunities of the Mount Apatite quarries at Auburn, Maine. Topics include the history...



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AMSER is a portal of educational resources and services built specifically for use by those in Community and Technical Colleges but free for anyone to use.

AMSER is funded by the National Science Foundation as part of the National Science Digital Library, and is being created by a team of project partners led by Internet Scout.
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Data Mining, one of the emerging fields to consider according to the Society for Industrial and Applied Mathematics, deals with "the discovery of patterns and previously unknown information in large data sets."


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