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    Teaching Material Incubators
    This is the Abstract. This is the Abstract. This is the Abstract. This is the Abstract. This is the Abstract. This is the Abstract.

    Keywords: incubators

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    Bioinformatics: Food Detective – a Practical Guide
    This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces the idea of computers as tools to help understand aspects of biology.
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    Bioinformatics: the Power of Computers in Biology – a Practical Guide
    This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces simple bioinformatics approaches for database searching and sequence analysis.

    Keywords: NIBLSEGOBLET

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    Introduction to Genome Annotation
    This exercise is an adaptation of the Annotation Lesson by Rosenwald et al. It introduces the use of bioinformatics tools to extract information from genome databases. It is a basic lesson on...
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    An Introduction to Biodiversity Databases and Specimen Images
    In this module, students will be introduced to some biodiversity data resources and how to search for and download herbarium specimen images. They will be asked to think critically about the...
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    Open science, open data, open source projects for undergraduate research experiences
    Resource from the 2015 BioQUEST Summer Workshop
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    Sequence Similarity: Introducing Biological Databases to Community College Biology Students
    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.
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    GBIF Tutorial - BLUE Resource
    A user guide and video instructions for GBIF
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    Arctos Tutorial - BLUE Resource
    A user guide and video instructions for Arctos
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    Exploring Data with BISON
    A module to explore aggregated observation and collection information, through BISON, or Biodiversity Information Serving Our Nation (https://bison.usgs.gov), a tool for visualizing GBIF data.
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    An Investigation of Island Biogeography using Data from Online Natural History Collections
    Module on coevolution in which students utilize natural history collections. Initial module by AIM-UP was modified by BLUE
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    Using Map of Life to Investigate Species Ranges Shifts with Climate Change
    Biodiversity databases, based on species occurrences, are now readily available for students to use a free of charge. These databases allow exploration of how species ranges shift through time. One...
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    GEA Introductory lesson on BLAST
    The "Introduction to BLAST using Human Leptin" exercise aims to introduce students to the use of the Basic Local Alignment Search Tool (BLAST) to identify related sequences and compare similarity...
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    Demography from "virtual cemeteries"
    This module is a modification of the Lanza module in TIEE Volume 8. Rather than requiring students to visit cemeteries outside of class, this modification has students collect data from online...
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    Engaging students in data exploration using digital biodiversity databases: BLUE Data Network
    Slides for BLUE presentation at 2020 BIOME Institute: Cultivating Scientific Curiosity
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    How to Find a Gene: Retrieving Information From Gene Databases
    A strong understanding of distinct gene components and the ability to retrieve relevant information from gene databases are necessary to answer a diverse set of biological questions. However, often...
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    Introduction to Assessing Biodiversity: Bivalves of the Rio Grande Area
    Learning to identify taxa is a key skill gained in many systematics classes. This module aims to introduce students to concepts and resources for identifying organisms and assessing species...
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    2022 BioQUEST OneHealth Plug-and-Play CURE Model Working Group - YouTube
    For the Fall 2022 BIOME Working Group, we have developed a plug-and-play CURE model that will allow educators to pick and choose CURE resources, centered on microbial diversity and ecology, to...
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    Using Bioinformatics to Understand Genetic Diseases: A Practical Guide
    This Practical Guide outlines a number of basic bioinformatics approaches that can be used to understand the molecular basis of genetic diseases.
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