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    Foundations of Bioinformatics (BGGN-213)
    This first short screen-cast introduces “Foundations of Bioinformatics” (BGGN-213) course at UCSD and covers some pre-course logistics.
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    ProteinPhysiochemistry
    How to determine physiochemical features of proteins using ExPasy Protpram, SOSUI server, and PSortB programs.
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    LEAGSEA
    How to perform Leading Edge Analysis in Gene Set Enrichment Analysis by Broad Institute
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    Using Phyre2
    How to use Phrye2 and 3DLigandSite to computationally predict protein and active site structure and binding partners (substrates/cofactors/coenzymes).
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    Simple Heat Maps with Morpheus
    Learn how to load an Excel file of raw data into Morpheus and change between relative and global scales.
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    How to create "funny symbols" (aka math / statistical notation) in Microsoft Word / Office
    YouTube video on using statistical notation in Microsoft Word.
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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...
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    BEDE - Biological and Environmental Data Education Network: Preparing Instructors to Integrate Data Science into Undergraduate Biology and Environmental Science Curricula (RCN-UBE Introduction)
    The Biological and Environmental Data Education Network (BEDE Network) develops and shares teacher-training workshops, curricular designs, teaching modules, and best practices to help integrate...
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    Introduction to Mathematical Modeling in Biotechnology, Cell Biology, and Physiology
    The course is a mathematical and computational exploration of five diverse areas of biology: human locomotion, gene sequence analysis, signal transduction pathways involved in cancer,...
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    Understanding the Quantitative and Computational Skills of Incoming Biology Students
    Presentation given as part of a Minisymposium at BEER 2015.
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    2015-H_Sayama-Intro to Modeling and Analysis of Complex Systems
    Introduces students to mathematical/computational modeling and analysis developed in the emerging interdisciplinary field of Complex Systems Science.

    Keywords: textbooktext

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    Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypes
    This lesson is a five-week series of laboratory activities designed to help students transition from applying lower order thinking skills to the central dogma to applying higher-order thinking skills.
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    2017-Brandi-Garcia-Motivating engineering students to math classes - Practical experience teaching ODEs
    In this paper we propose an approach to teaching-learning process of mathematical concepts to engineering students with a motivational factor: a practical problem to be modeled in which students...
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    2015-European_Bioinformatics_Institute-Bio-Models-Database
    Bio Models Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references. All models are...
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    Needleman - Wunsch Algorithm Exercise
    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.
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    Bioinformatics / Neuroinformatics
    This module is a computer-based introduction to bioinformatics resources.  This easy-to-adopt module weaves together several important bioinformatic tools so students can grasp how each is used in...
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    Critical Zone Science Part II
    As part of our effort to model the redwood forest water budget, we used the InTeGrate Unit 5.2 to put numbers to pathways.
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    Populus: Simulations of Population Biology
    Link to Populus Software
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    Modernizing Statistics Education via Biology Applications
    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education
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    Introduction to Quantitative Biology - Fall 2014 Syllabus
    Syllabus for Introduction to Quantitative Biology taught at the College of William and Mary.

    Keywords: quant biosyllabus

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