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Biology
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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:
08/22/2012
Estimating disease risk using the microbiome: the Microbial Risk Score
Unrestricted Use
CC BY
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This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Our microbiome has profound impacts on our health, and technological advances have allowed for ever-growing pools of data from microbiome-wide studies. This means that our microbiome could be used to estimate disease risk, but the nature of the data makes the endeavor difficult. Similar issues with using genetics to predict disease risk led to the development of the polygenic risk score. Motivated by the success of that framework, a team of researchers recently developed the microbial risk score (MRS). MRS summarizes the complex microbial profile by first identifying a sub- community consisting of disease-associated microbial taxa and then integrating those microbial taxa into a continuous score based on the alpha diversity of the identified sub-community. MRS can be easily integrated with the other risk scores built upon metatranscriptomics, host genetics, or host transcriptomics, making it useful for 'multi-omics' approaches as well..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Subject:
Biology
Life Science
Material Type:
Diagram/Illustration
Reading
Provider:
Research Square
Provider Set:
Video Bytes
Date Added:
04/14/2023