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You are here: Home / Tags / C4. Bioinformatics tools / All Categories

Tags: C4. Bioinformatics tools

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C4. Use bioinformatics tools to examine complex biological problems in evolution, information flow, and other important areas of biology. This competency is written broadly so as to encompass a variety of problems that can be addressed using bioinformatics tools, such as understanding the evolutionary underpinnings of sequence comparison and homology detection; distinguishing between genomic sequences, RNA sequences, and protein sequences; and 
23 interpreting phylogenetic trees. “Complex” biological problems require that students should be able to work through a problem with multiple steps, not just perform isolated tasks. 

  • Using multiple lines of evidence, annotate a gene.
  • Develop and interpret a “tree of life” based on a BLAST search, multiple alignment, and
    phylogenetic-tree building.
  • Explain how a mutation in a gene causes cancer, using a genome browser to identify the gene, transcript, and affected protein, and tools such as OMIM, GO, and KEGG to place it in the context of a function and pathway important to the disease.

All Categories (1-20 of 41)

  1. Inquiry-based hypothesis testing using phylogenetic trees in MEGA

    17 Jun 2021 | Teaching Materials | Contributor(s):

    By Kristin Hultgren

    Seattle University

    A key learning objective in biology is applying bioinformatics tools to test a real-life question. These inquiry-based modules have students assemble and align data, and construct simple...

    https://qubeshub.org/publications/2379/?v=1

  2. Sequence Similarity: A Quick Introduction to Bioconductor

    04 Jun 2021 | Teaching Materials | Contributor(s):

    By Derek Edward Sollberger

    UC Merced School of Natural Sciences

    Following the Sequence Similarity exercises by Kleinschmit, et al., this tutorial will guide students in using the Bioconductor suite of R packages to likewise compute sequence similarity.

    https://qubeshub.org/publications/2410/?v=1

  3. Sequence Similarity: Introducing Biological Databases to Community College Biology Students

    01 Jun 2021 | Teaching Materials | Contributor(s):

    By Jennifer Katcher

    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.

    https://qubeshub.org/publications/2407/?v=1

  4. Developing a phylogram from computational resources.

    01 Jun 2021 | Teaching Materials | Contributor(s):

    By Melanie Lenahan1, Shea Cinquemani1

    Raritan Valley Community College

    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.

    https://qubeshub.org/publications/2404/?v=1

  5. Introductory Video and worksheets on Module 1 and 2 on "Sequence Similarity: An inquiry based and under the hood..."

    31 May 2021 | Teaching Materials | Contributor(s):

    By Alice Tarun

    St. Lawrence University

    The video walks the students to complete Module 1 and 2 on Sequence Similarly and Alignment adapted from Tapprich (2019) and Hudson Alpha that teaches these modules within the context of the...

    https://qubeshub.org/publications/2394/?v=1

  6. The Ames Test

    08 Jan 2021 | Teaching Materials | Contributor(s):

    By Nathan Goodson-Gregg, Elizabeth A. De Stasio

    Introduction to the Ames Test, published as GSA Learning Resource

    https://qubeshub.org/publications/987/?v=2

  7. Yeti or not: Do they exist?

    31 Dec 2020 | Teaching Materials | Contributor(s):

    By Keith Johnson1, Adam Kleinschmit2, Jill Rulfs3, William (Bill) Morgan4

    1. Bradley University College of Liberal Arts and Sciences 2. University of Dubuque 3. Worcester Polytechnic Institute 4. The College of Wooster

    Through this 4-part bioinformatics case study, students will be led through the forensic analysis of putative Yeti artifacts based on published findings.

    https://qubeshub.org/publications/1832/?v=3

  8. A Critical Guide to BLAST

    04 Dec 2020 | Teaching Materials | Contributor(s):

    By Teresa Attwood1, GOBLET Foundation

    The University of Manchester, Manchester, UK

    This Critical Guide in the Introduction to Bioinformatics series provides an overview of the BLAST similarity search tool, briefly examining the underlying algorithm and its rise to popularity.

    https://qubeshub.org/publications/2172/?v=1

  9. Bioinformatics: the Power of Computers in Biology – a Practical Guide

    03 Dec 2020 | Teaching Materials | Contributor(s):

    By Daniel Barker1, Heleen Plaisier2, Stevie Anne Bain1, Teresa Attwood

    1. The University of Edinburgh, Edinburgh, UK 2. Royal Botanic Garden, Edinburgh, UK

    This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces simple bioinformatics approaches for database searching and sequence analysis.

    https://qubeshub.org/publications/2159/?v=1

  10. BSL-4: Authorized Personnel Only

    17 Aug 2020 | Teaching Materials | Contributor(s):

    By Nicole Anthony

    Biological Sciences, Toronto District School Board

    National Center for Case Study Teaching in Science resource on the 2014 Ebola epidemic. This resource is also included in the NIBLSE Learning Resource Collection

    https://qubeshub.org/publications/795/?v=1

  11. Yeti or not: Do they exist?

    14 May 2020 | Teaching Materials | Contributor(s):

    By Keith Johnson

    Bradley University College of Liberal Arts and Sciences

    Through this 2-part bioinformatics case study, students will be led through the forensic analysis of putative Yeti artifacts based on published findings.

    https://qubeshub.org/publications/1832/?v=1

  12. Genome Solver: Complete Set of Lessons

    23 Oct 2019 | Teaching Materials | Contributor(s):

    By Anne Rosenwald1, Gaurav Arora2, Vinayak Mathur3

    1. Georgetown University 2. Gallaudet University 3. Cabrini University

    The Genome Solver Project began as a way to teach faculty some basic skills in bioinformatics - no coding or scripting. These Lessons also work well in the undergraduate classroom, culminating with...

    https://qubeshub.org/publications/860/?v=2

  13. Using Synthetic Biology to Teach Data Science

    26 Jun 2019 | Teaching Materials | Contributor(s):

    By Margaret S Saha1, Beteel Abu-Ageel1, Sanjana Challa1, Xiangyi Fang1, Chai Hibbert1, Anna Isler1, Elias Nafziger1, Adam Oliver1, Hanqiu Peng1, Julia Urban1, Vivian Zhu1

    College of William and Mary

    Abstract for poster on using synthetic biology to introduce students to meaningful data mining, analysis, and application to engineering novel biological constructs.

    https://qubeshub.org/publications/1326/?v=1

  14. A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!

    07 Jun 2019 | Teaching Materials | Contributor(s):

    By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5

    1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University

    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.

    https://qubeshub.org/publications/1092/?v=2

  15. Bioinformatics: Investigating Sequence Similarity - A Plant Biology Approach

    29 May 2019 | Teaching Materials | Contributor(s):

    By Ami Erickson

    This laboratory module is a modification of the original published on CourseSource with a focus on plant biology. In the final activity, students conduct a BLAST to compare histone protein...

    https://qubeshub.org/publications/1247/?v=1

  16. Sequence Similarity Resource Adaptation: Exploring Ebola Virus

    16 May 2019 | Teaching Materials | Contributor(s):

    By William Tapprich

    University of Nebraska-Omaha

    This adaptation of the sequence similarity resource provides biology students with a basic set of bioinformatics concepts and tools. These concepts and tools are used to explore relationships...

    https://qubeshub.org/publications/1219/?v=1

  17. Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses

    02 May 2019 | Teaching Materials | Contributor(s):

    By Adam Kleinschmit1, Benita Brink1, Steven Roof2, Carlos Christopher Goller3, Sabrina Robertson3

    1. Adams State University 2. Fairmont State University 3. North Carolina State University

    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.

    https://qubeshub.org/publications/56/?v=5

  18. A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!

    28 Feb 2019 | Teaching Materials | Contributor(s):

    By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5

    1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University

    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.

    https://qubeshub.org/publications/1092/?v=1

  19. Using Undergraduate Molecular Biology Labs to Discover Targets of miRNAs in Humans

    04 Jan 2019 | Teaching Materials | Contributor(s):

    By Adam Idica1, Jordan Thompson1, Irene Munk Pedersen1, Pavan Kadandale1

    University of California, Irvine

    In this lesson, we describe an easily adaptable lab module that can be used in existing undergraduate molecular biology lab courses to conduct authentic scientific research, published in CourseSource

    https://qubeshub.org/publications/1007/?v=1

  20. Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypes

    04 Jan 2019 | Teaching Materials | Contributor(s):

    By Tara Phelps-Durr

    Radford University

    This lesson is a five-week series of laboratory activities designed to help students transition from applying lower order thinking skills to the central dogma to applying higher-order thinking skills.

    https://qubeshub.org/publications/1006/?v=1

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