In this chapter, instructors will develop foundational knowledge about how to select and use computational tools to teach CRISPR-Cas technologies. Broadly speaking, CRISPR-Cas is a sequence-based technology. Computational resources provide a platform for managing and interacting with these sequences. With appropriate instructional design, computational tools are a valuable complement to lessons about CRISPR-Cas technologies and are essential support tools for CRISPR-Cas experiments. With an ever-growing suite of computational tools available, in this chapter, instructors will learn to navigate the landscape of these tools to select the most appropriate tools for their classroom or laboratory needs. Instructors will learn to identify when computational resources are appropriate for use in their classroom (and when they are not appropriate), then how to select the most appropriate tools for their unique needs. Additionally, we introduce instructors to best practices in instructional design for using CRISPR-Cas computational tools in the classroom. Throughout, instructors will learn both the rationale and principle behind selection so they can evaluate tools discussed in this chapter and new ones as they become available.

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Navigating Computational Resources for the CRISPR Classroom

  • Linnea Andersen,
  • Carlos Goller,
  • Leigh Ann Samsa,
  • Arnab Sengupta

摘要

In this chapter, instructors will develop foundational knowledge about how to select and use computational tools to teach CRISPR-Cas technologies. Broadly speaking, CRISPR-Cas is a sequence-based technology. Computational resources provide a platform for managing and interacting with these sequences. With appropriate instructional design, computational tools are a valuable complement to lessons about CRISPR-Cas technologies and are essential support tools for CRISPR-Cas experiments. With an ever-growing suite of computational tools available, in this chapter, instructors will learn to navigate the landscape of these tools to select the most appropriate tools for their classroom or laboratory needs. Instructors will learn to identify when computational resources are appropriate for use in their classroom (and when they are not appropriate), then how to select the most appropriate tools for their unique needs. Additionally, we introduce instructors to best practices in instructional design for using CRISPR-Cas computational tools in the classroom. Throughout, instructors will learn both the rationale and principle behind selection so they can evaluate tools discussed in this chapter and new ones as they become available.