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Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes

Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills to analyze biological data while understanding the...

Courses: Bioinformatics

computationpythonJupyter notebookFunctionscentral dogmaDictionaries

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1538

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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 there is a considerable gap between...

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

NCBItranscriptiontranslationGene StructureGene databasesEnsembl

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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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5906

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1177

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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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7422

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1432

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An undergraduate bioinformatics curriculum that teaches eukaryotic gene structure

Gene structure, transcription, translation, and alternative splicing are challenging concepts for many undergraduates studying biology. These topics are typically covered in a traditional lecture environment, but students often fail to master and...

Courses: Biochemistry and Molecular Biology Bioinformatics Genetics

bioinformaticsGenome BrowsergenomicsRNAseqsplicingComputer ModelGene Structure

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A Fun Introductory Command Line Lesson: Next Generation Sequencing Quality Analysis with Emoji!

Radical innovations in DNA sequencing technology over the past decade have created an increased need for computational bioinformatics analyses in the 21st century STEM workforce. Recent evidence however demonstrates that there are significant...

Courses: Bioinformatics

bioinformaticsgenomicscodingJupyter notebookcommand lineCyVersescriptingnext generation sequencing analysis

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6188

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1034

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Mapping a Mutation to its Gene: The "Fly Lab" as a Modern Research Experience

Although genetics is an invaluable part of the undergraduate biology curriculum, it can be intimidating to students as well as instructors: Students must reduce their reliance on memorization and dive deep into quantitative analysis, and...

Courses: Biochemistry and Molecular Biology Bioinformatics Genetics Science Process Skills

geneticsbioinformaticsdrosophilachi-square analysiscomplementation mappingmode of inheritancethree-point mapping

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1274

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A CRISPR/Cas Guide RNA Design In Silico Activity

CRISPR biotechnologies inspired by the Clustered Regularly Interspaced Short Palindromic Repeat RNA-guided nuclease adaptive bacterial immune system have revolutionized biology research and become ubiquitous tools for hypothesis and...

Courses: Biochemistry and Molecular Biology Bioinformatics Cell Biology Genetics

bioinformaticsgene expressiongenetic basis of diseaseCRISPR/Cas9genetic engineeringin silico

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1869

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268

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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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1455

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288

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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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602

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Predicting and classifying effects of insertion and deletion mutations on protein coding regions

Mutations in genes can affect the encoded proteins in multiple ways, and some of these effects are counterintuitive. As for any other knowledge, students must create their own deep understanding of the Central Dogma. Students may not develop this...

Courses: Bioinformatics Genetics Science Process Skills

mutationcentral dogmatranslationframeshift

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1968

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

Students require a deep understanding of the central dogma before they can understand complex topics such as evolution and biochemical disorders. However, getting undergraduate biology students to apply higher-order thinking skills to the central...

Courses: Bioinformatics Genetics Science Process Skills

Protein Structurecomputational modelingcentral dogmaplant leaf structurePhenotype/Genotype

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A Hands-on Introduction to Hidden Markov Models

In this Lesson, we describe a classroom activity that demonstrates how a Hidden Markov Model (HMM) is applied to predict a eukaryotic gene, focusing on predicting one exon-intron boundary. This HMM lesson is part of the BIOL/CS 370...

Courses: Bioinformatics Genetics Science Process Skills

transcriptionexonintronsplicing

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Exploration of the Human Genome by Investigation of Personalized SNPs

Students often shy away from tedious bioinformatics approaches to exploring their genomes. However, in our expanding digital world these skills are some of the most relevant and valuable. To increase students' interest in their own genomes, I...

Courses: Bioinformatics Genetics Science Process Skills

UCSC genome browsersingle nucleotide polymorphismGenome wide association studiesGenomic organization

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

Incorporating authentic research experiences into undergraduate labs, while shown to be particularly effective at engaging and retaining students in STEM majors, can be difficult to accomplish within the constraints of resource availability or...

Courses: Bioinformatics Genetics Science Process Skills

gene regulationmicroRNAsgene expression

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Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes

How to Find a Gene: Retrieving Information From Gene Databases

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

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

An undergraduate bioinformatics curriculum that teaches eukaryotic gene structure

A Fun Introductory Command Line Lesson: Next Generation Sequencing Quality Analysis with Emoji!

Mapping a Mutation to its Gene: The "Fly Lab" as a Modern Research Experience

A CRISPR/Cas Guide RNA Design In Silico Activity

A CURE-based approach to teaching genomics using mitochondrial genomes

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

Predicting and classifying effects of insertion and deletion mutations on protein coding regions

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

A Hands-on Introduction to Hidden Markov Models

Exploration of the Human Genome by Investigation of Personalized SNPs

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

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