CourseSource: Resources

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1936

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A CURE-based approach to teaching genomics using mitochondrial genomes

There is an abundance (currently over 1016 DNA bases) of publicly available genetic sequence data and a dearth of trained genomicists to process and interpret it, necessitating more trained bioinformaticians with biological expertise. For...

Courses: Bioinformatics Genetics

proteinsMitochondrial GenomesNuclear GenomesrRNAtRNA

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2697

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233

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Integrating Community Ecology Into the Study of Parasites: Exploring the Effect of Host Behavior on Parasite Transmission Rates

Organismal life cycles are often presented as a set of facts to memorize in undergraduate biology courses. This approach is cognitively demanding for students and fails to convey how central life cycle diversity is in shaping ecological and...

Courses: Ecology Ecology Science Process Skills

statisticsspecies interactionsQuantitative reasoninggraphsCommunity EcologyParasitologyfood webs

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2681

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424

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An Introduction to Eukaryotic Genome Analysis in Non-model Species for Undergraduates: A tutorial from the Genome Consortium for Active Teaching

Advances in Next Generation Sequencing (NGS) technology have led to development of many research methods for analyzing genomic data. Students studying biology at the undergraduate level must hone their skills at genomic analysis to participate in...

Courses: Bioinformatics Genetics Science Process Skills

Speciationgenome evolutiongenetic variation

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514

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74

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Using Raw Sequence Data to Analyze Tumor Suppressor Mutations

Learning to identify DNA sequence variants from raw sequencing data (electropherograms) is a basic molecular biology skill with applications to basic research and clinical practice. Yet learning to map DNA sequence variants to functional regions...

Courses: Bioinformatics Genetics

bioinformaticsmutationDNAgenomic visualizationparts of a geneclinical consequencesraw data

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6079

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1231

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A CURE for Salmonella: A Laboratory Course in Pathogen Microbiology and Genomics

Rapid advances in genomics and bioinformatics, the vast amount of data generated by next-generation sequencing, and the penetration of the ‘-omics’ into many areas of biology have created a need for students with hands-on experience with...

Courses: Biochemistry and Molecular Biology Bioinformatics Ecology Ecology Microbiology

epidemiologyresearchbioinformaticsgenomicspublic healthAntibiotic Resistant BacteriaSalmonellaDNA sequencingpathogenic bacteria

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1547

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297

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Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics Course

Metagenomics is rapidly evolving due to advances in sequencing technologies and bioinformatics, but without proper training to interpret these datasets, student understanding remains limited. Aimed at undergraduate juniors and seniors and graduate...

Courses: Biochemistry and Molecular Biology Bioinformatics Ecology Ecology Microbiology Science Process Skills

microbiome

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4999

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900

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Tackling "Big Data" with Biology Undergrads: A Simple RNA-seq Data Analysis Tutorial Using Galaxy

Analyzing high-throughput DNA sequence data is a fundamental skill in modern biology. However, real and perceived barriers such as massive file sizes, substantial computational requirements, and lack of instructor background knowledge can...

Courses: Biochemistry and Molecular Biology Bioinformatics

bioinformaticsDNA sequenceRNAseqgene expression

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2753

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758

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Unwrapping Enzyme Kinetics

Enzyme rates and kinetics are key components used by biochemists to understand how enzymes function. However, students often find it difficult to understand how these experiments are performed and how they reflect enzyme behavior in solution. The...

Courses: Biochemistry and Molecular Biology

kineticsstructure-functionenzymescatalysis

Lesson

2751

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689

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Teaching Biodiversity with Museum Specimens in an Inquiry-Based Lab

In response to the growth of biology datasets and broad efforts to digitize data, an increasingly important skill for science students is the management and analysis of large datasets. We designed an inquiry-based lab module to introduce students...

Courses: Ecology Ecology Evolution Introductory Biology Science Process Skills

data analysisnatural historyphylogenyBiodiversitymammalsAllen's RuleBergmann's Ruleecogeographymuseum research

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1935

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173

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Fly Exercise: A Simple Experiment to Test the Physiological Effects of Exercise on a Model Organism

Model organisms are commonly used to study and experimentally explore biological processes in ways that are technically or ethically not possible in humans. For this reason, model organisms are an essential component of scientific research and...

Courses: Biochemistry and Molecular Biology Introductory Biology Science Process Skills

exerciseenzyme kineticsmetabolite concentrationmodel speciesphysical activity

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3409

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207

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Gotcha! Which fly trap is the best? An introduction to experimental data collection and analysis

Collecting data from experimental observations is an important component of the scientific process; likewise, the analysis of the data is essential to understanding the observed trends and patterns from any experiment. Allowing students to...

Courses: Biochemistry and Molecular Biology Introductory Biology Science Process Skills

data analysisexperimental designdata collectionfruit fliesfly traps

Lesson

1982

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583

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BioVEDA Curriculum: An Approach to Link Conceptual and Quantitative Understanding of Variation During Experimental Design and Data Analysis

When performing a biological investigation, experts constantly cycle between conceptual and quantitative modes of thinking, integrating their understanding in both worlds to make decisions about their work. This cycling and mixing of conceptual...

Courses: Science Process Skills

statisticssample sizeBiological variation

Teaching Tools and Strategies

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374

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A Remote-Learning Framework for Student Research Projects: Using Datasets to Teach Experimental Design, Data Analysis and Science Communication

Remote learning often requires an alternative to hands-on, student-designed research projects. To this end, we created a package of scaffolded assignments to support introductory students through the research process using datasets from past...

Courses: Introductory Biology Science Process Skills

population growthphysiologyecotoxicologyphotosynthesis

Teaching Tools and Strategies

3609

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1714

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A 360˚ View of COVID-19

In March 2020, institutions underwent a massive transition to distance learning as a result of the COVID-19 pandemic. With so little time to devise new materials to maximize learning in the new virtual environment, instructors devised a variety of...

Courses: Biochemistry and Molecular Biology Bioinformatics Cell Biology Evolution Genetics Immunology Introductory Biology Microbiology Science Process Skills

geneticsImmunologyBiochemistrybioinformaticsmolecular evolutionpublic healthvirusCOVID19

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Sex-specific differences in Meiosis: Real-world applications

In traditional classrooms, students are typically presented with facts that they are asked to memorize and recall during an exam. The rapid explosion of available scientific facts in recent years has made this model of teaching...

Courses: Cell Biology Genetics Science Process Skills

meiosisReproductionAneuploidyGameteNon-disjunctionOocyteSpermTrisomy

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Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

Next-generation sequencing is radically changing the study of biology, but there are currently few resources aimed at teaching the required laboratory and data-analysis skills to undergraduate students. This gap is especially true at primarily...

Courses: Bioinformatics Introductory Biology

statisticsbioinformaticsRNAseqgene expressioncomputer programming

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388

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Data, Distributions, and Hypotheses: Exploring Diversity and Disturbance in the Tallgrass Prairie

Proper hypothesis generation, data handling, graphing, and communication are essential skills that undergraduate majors in biology are expected to master. However, students rarely get hands-on practice that helps them to effectively develop these...

Courses: Ecology Ecology Plant Biology

Quantitative reasoningRestoration EcologyScience process skillstall grass prairie ecosystem

Lesson

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Single Cell Insights Into Cancer Transcriptomes: A Five-Part Single-Cell RNAseq Case Study Lesson

There is a growing need for integration of “Big Data” into undergraduate biology curricula. Transcriptomics is one venue to examine biology from an informatics perspective. RNA sequencing has largely replaced the use of microarrays for whole...

Courses: Biochemistry and Molecular Biology Bioinformatics Cell Biology Genetics Introductory Biology

bioinformaticscancertranscriptomicshigh-throughputData wranglingSingle cell RNA sequencingq

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779

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Breaking It Down: What Factors Control Microbial Decomposition Rates?

Demonstrating and modeling changes in ecosystem processes in the laboratory classroom can be logistically difficult and expensive. This complexity often leaves little time for students to generate and test hypotheses. Yet, we must foster student...

Courses: Ecology Ecology Microbiology Science Process Skills

data analysishypothesis testingdata visualizationdata managementMicrobial RespirationDecompostionAbiotic ConditionsResults Communication

Lesson

1574

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341

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Investigating Gene Expression and Cell Specialization in Axolotl Embryos

The process of cell specialization is critical to the formation and function of tissues in animals and plants. Although gene expression, including the regulation of transcription, is taught in most introductory cell biology courses, the...

Courses: Biochemistry and Molecular Biology Cell Biology Developmental Biology Science Process Skills

developmenttranscriptiongene expressionmodel organismembryo

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A CURE-based approach to teaching genomics using mitochondrial genomes

Integrating Community Ecology Into the Study of Parasites: Exploring the Effect of Host Behavior on Parasite Transmission Rates

An Introduction to Eukaryotic Genome Analysis in Non-model Species for Undergraduates: A tutorial from the Genome Consortium for Active Teaching

Using Raw Sequence Data to Analyze Tumor Suppressor Mutations

A CURE for Salmonella: A Laboratory Course in Pathogen Microbiology and Genomics

Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics Course

Tackling "Big Data" with Biology Undergrads: A Simple RNA-seq Data Analysis Tutorial Using Galaxy

Unwrapping Enzyme Kinetics

Teaching Biodiversity with Museum Specimens in an Inquiry-Based Lab

Fly Exercise: A Simple Experiment to Test the Physiological Effects of Exercise on a Model Organism

Gotcha! Which fly trap is the best? An introduction to experimental data collection and analysis

BioVEDA Curriculum: An Approach to Link Conceptual and Quantitative Understanding of Variation During Experimental Design and Data Analysis

A Remote-Learning Framework for Student Research Projects: Using Datasets to Teach Experimental Design, Data Analysis and Science Communication

A 360˚ View of COVID-19

Sex-specific differences in Meiosis: Real-world applications

Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

Data, Distributions, and Hypotheses: Exploring Diversity and Disturbance in the Tallgrass Prairie

Single Cell Insights Into Cancer Transcriptomes: A Five-Part Single-Cell RNAseq Case Study Lesson

Breaking It Down: What Factors Control Microbial Decomposition Rates?

Investigating Gene Expression and Cell Specialization in Axolotl Embryos

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