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About the problem

Tags: C2. Computational concepts

Description

C2. Summarize key computational concepts, such as algorithms and relational databases, and their applications in the life sciences. To make use of sophisticated software and database tools, students should have a basic understanding of the principles upon which these tools are based and should be exposed to how these tools work. 

  • Explain the underlying algorithm(s) employed in sequence alignment (e.g., BLAST).
  • Modify software parameters to achieve biologically meaningful results.
  • Explain how data are organized in relational databases (e.g., NCBI and model organisms
    databases).

All Categories (21-32 of 32)

  1. Using DNA Subway to Analyze Sequence Relationships

    28 May 2018 | Teaching Materials | Contributor(s):

    By Jason Williams1, Ray A. Enke2, Oliver Hyman2, Emily Lescak3, Sam S Donovan4, William Tapprich5, Elizabeth F Ryder6

    1. DNA Learning Center 2. The Department of Biology, James Madison University; The Center for Genome & Metagenome Studies, James Madison University 3. University of Alaska 4. University of Pittsburgh 5. University of Nebraska-Omaha 6. Worcester Polytechnic Institute

    This is a bioinformatics exercise using the DNA Subway Blue Line, a user-friendly pipeline of bioinformatics tools, to analyze a collection of mosquito DNA bar-code sequences.

    https://qubeshub.org/publications/165/?v=2

  2. RNAseq data analysis using Galaxy

    13 Nov 2017 | Teaching Materials | Contributor(s):

    By Matthew Escobar1, Sam S Donovan2, Irina Makarevitch3, Bill Morgan4, Sabrina Robertson5

    1. California State University San Marcos 2. University of Pittsburgh 3. Hamline University 4. The College of Wooster 5. North Carolina State University

    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.

    https://qubeshub.org/publications/118/?v=3

  3. DNA Subway Learning Resources

    18 Oct 2017 | Teaching Materials | Contributor(s):

    By Jason Williams

    DNA Learning Center

    DNA Subway is a NIBLSE Recommended resource. This is a collection of learning resources associated with DNA Subway.

    https://qubeshub.org/publications/164/?v=2

  4. Using DNA Subway to Analyze Sequence Relationships

    18 Oct 2017 | Teaching Materials | Contributor(s):

    By Jason Williams

    DNA Learning Center

    This is a bioinformatics exercise using DNA Subway

    https://qubeshub.org/publications/165/?v=1

  5. RNAseq data analysis using Galaxy

    01 Aug 2017 | Teaching Materials | Contributor(s):

    By Matthew Escobar

    California State University - San Marcos

    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.

    https://qubeshub.org/publications/118/?v=2

  6. Bioinformatics - Investigating Sequence Similarity

    05 Jul 2017 | Teaching Materials | Contributor(s):

    By Adam Kleinschmit1, Benita Brink1, Steven Roof2, Komal Vig3, Carlos Christopher Goller4, Sabrina Robertson5

    1. Adams State University 2. Hampshire College 3. Alabama State University 4. North Carolina State University 5. NC State

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

    https://qubeshub.org/publications/56/?v=3

  7. RNAseq data analysis using Galaxy

    03 Jul 2017 | Teaching Materials | Contributor(s):

    By Matthew Escobar

    California State University - San Marcos

    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.

    https://qubeshub.org/publications/118/?v=1

  8. Bioinformatics - Investigating Sequence Similarity

    05 Jun 2017 | Teaching Materials | Contributor(s):

    By Adam Kleinschmit1, Benita Brink1, Steven Roof2, Komal Vig3

    1. Adams State University 2. Hampshire College 3. Alabama State University

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

    https://qubeshub.org/publications/56/?v=2

  9. Needleman - Wunsch Algorithm Exercise

    05 Jun 2017 | Teaching Materials | Contributor(s):

    By Michael Sierk

    Saint Vincent College

    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.

    https://qubeshub.org/publications/28/?v=3

  10. Bioinformatics - Investigating Sequence Similarity

    31 Jan 2017 | Teaching Materials | Contributor(s):

    By Adam Kleinschmit1, Benita Brink1, Steven Roof2, Komal Vig3

    1. Adams State University 2. Hampshire College 3. Alabama State University

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

    https://qubeshub.org/publications/56/?v=1

  11. Needleman - Wunsch Algorithm Exercise

    13 Oct 2016 | Teaching Materials | Contributor(s):

    By Michael Sierk1, Sam S Donovan2, Neal Grandgenett, Bill Morgan3, Mark A. Pauley4, Elizabeth Ryder5

    1. Saint Vincent College 2. University of Pittsburgh 3. The College of Wooster 4. University of Nebraska at Omaha 5. Worcester Polytechnic Institute

    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.

    https://qubeshub.org/publications/28/?v=2

  12. Needleman - Wunsch Algorithm Exercise

    03 Aug 2016 | Teaching Materials | Contributor(s):

    By Michael Sierk

    Saint Vincent College

    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.

    https://qubeshub.org/publications/28/?v=1