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    Module 1: Introduction to the Genome Browser: What is a Gene?
    This lesson introduces the University of California Santa Cruz genome browser to students, walking them through some of the key features so that it can be used for analysis of gene structure.
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    BLAST Exercises for Analyzing Cloning Results
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. These activities have modified Lesson 1: Introduction to Genome...
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    Databases: A Study of Influenza
    This lesson introduces the student to the Influenza Research Database. Students will select Influenza genome sequences to see how they are related. Students tests hypotheses about evolutionary...
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    Lesson V - Phylogenetics
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson V is an introduction to Phylogenetics.
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    Should we synthesize a human genome?
    Two articles introducing the Human Genome Project-Write and asking questions about the ethics of the project.
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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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    A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.
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    A Hands-on Introduction to Hidden Markov Models
    A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.
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    Genome Solver - A bioinformatics pipeline for community science
    The Genome Solver was an NSF-funded project developed as a way to train undergraduate life science faculty in basic web-based tools for bioinformatics. As part of the project we developed a one-day...
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    Understanding Gene Prediction Programs
    Introduces students to the key biological concepts underlying computational gene prediction. Outcomes include ability to analyze and evaluate output of gene prediction programs, and reflect on...
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    Using genome browsers constructed by G-OnRamp to provide students with a Course-based Undergraduate Research Experience in genome annotation
    G-OnRamp (http://g-onramp.org) provides an easy-to-use web platform for educators to create genome browsers to engage undergraduate students in research projects, both collaborative annotation of...
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    (Online) Figure of the Week: Skills for Interpreting Comparative Genomics Figures
    Students use their number sense to make observations and explain or guess at patterns shown, discussing in a weekly online Q&A forum.
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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...
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    Lesson III - Annotation
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all...
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    CURESUB Lecture 5 - OMICS
    s assistant professor in the department of medicine at Rutgers Robert Wood Johnson Medical School, Manisha Bajpai, PhD., led the Gastroenterology division’s clinical and translational research...
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    Advances in Genome Sequencing with Nathan Olson
    In this Lunch with a Scientist episode, we discuss Genome Sequencing and Bioinformatics with National Institute of Standards and Technology (NIST) biologist Nate Olson, Ph.D.
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    Genome Solver: Building faculty skills in bioinformatics
    Genome Solver (GS) began in 2011 as an NSF-funded project for faculty training in basic web-based bioinformatics skills.
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    Integration of Bioinformatics into Life Science Curricula: Community Development, Dissemination, and Assessment of a NIBLSE Learning Resource
    Big data and computational tools have transformed the way we address biological questions. To prepare undergraduates for tomorrow’s challenges, life science curricula should integrate the...
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    The Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE): Barriers to Integration
    The Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE) seeks to promote the use of bioinformatics and data science as a way to teach biology.
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    Incubators: Building community networks and developing open educational resources to integrate bioinformatics into life sciences education
    To efficiently and effectively integrate bioinformatics instruction into undergraduate life science curricula, educators would benefit from open access, high-quality learning resources (LRs) for...
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