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Tags: Teaching material

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Teaching material

All Categories (801-820 of 932)

  1. Needleman - Wunsch Algorithm Exercise

    05 Jun 2017 | Teaching Materials | Contributor(s):

    By Michael Sierk

    Saint Vincent College

    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.

    https://qubeshub.org/publications/28/?v=3

  2. RNA-seq Analysis

    05 Jun 2017 | Teaching Materials | Contributor(s):

    By Bill Morgan1, Matthew Reeder2

    1. The College of Wooster 2. Ohio State University

    In this computer lab module, students learn how to process an RNA-seq data set to identify differentially expressed genes (DEGs). The samples for this data set were collected from yeast cells...

    https://qubeshub.org/publications/27/?v=2

  3. Pokemon Go and Ecology

    17 Feb 2017 | | Contributor(s):: Elizabeth C Davis-Berg, Joshua Drew, Stephanie Sardelis <stephanie.sardelis@gmail.com>

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/787These are resources associated with using Pokemon Go to teach concepts in Ecology.  They can be used from Introductory non-majors classes up through graduate classes.

  4. Mathematical models and theorems

    01 Feb 2017 | | Contributor(s):: Winfried Just

    In this module we introduce and compare various types of deterministic and stochastic mathematical models of disease transmission. We then illustrate how one can derive predictions of these models in the form of mathematical theorems.Level: Advanced undergraduate and graduate students of...

  5. Bioinformatics - Investigating Sequence Similarity

    31 Jan 2017 | Teaching Materials | Contributor(s):

    By Adam Kleinschmit1, Benita Brink1, Steven Roof2, Komal Vig3

    1. Adams State University 2. Hampshire College 3. Alabama State University

    This laboratory module, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.

    https://qubeshub.org/publications/56/?v=1

  6. The Evolution (and Coevolution) of Flowering Plants

    02 Dec 2016 | | Contributor(s):: Anna Monfils, Debra Linton, Libby Ellwood, Molly Phillips

    This resource has been updated - find the current version here: https://qubeshub.org/publications/277In this laboratory exercise, students will explore the diversity of flower and fruit adaptations that have evolved to accomplish pollination and seed dispersal and investigate the...

  7. An Investigation of Island Biogeography using Data from Online Natural History Collections

    02 Dec 2016 | | Contributor(s):: Libby Beckman, Yadeeh Sawyer, Kayce Bell, Joseph Cook

    This resource has been updated - find the current version here: https://qubeshub.org/publications/278This module guides students through tests of two fundamental rules of island biogeography using specimens collected from the Alexander Archipelago in Southeastern Alaska. The module was...

  8. Introduction to Probability, Statistics, and Random Processes

    07 Nov 2016 | | Contributor(s):: Hossein Pishro-Nik

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/896Check out the textbook called Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik. From the website: "It is an open access...

  9. Free Introduction to Python for Data Science Course at DataCamp

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/915Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from...

  10. Free Introduction to R Course at DataCamp

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

  11. DataCamp

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

  12. Needleman - Wunsch Algorithm Exercise

    13 Oct 2016 | Teaching Materials | Contributor(s):

    By Michael Sierk1, Sam S Donovan2, Neal Grandgenett, Bill Morgan3, Mark A. Pauley4, Elizabeth Ryder5

    1. Saint Vincent College 2. University of Pittsburgh 3. The College of Wooster 4. University of Nebraska at Omaha 5. Worcester Polytechnic Institute

    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.

    https://qubeshub.org/publications/28/?v=2

  13. Mutation and Selection: An Exploration of Antibiotic Resistance in Serratia marcescens

    15 Sep 2016 | | Contributor(s):: Laurel Hester, Mark Sarvary, Corey Ptak

    This resource has been updated - find the current version here:  https://qubeshub.org/qubesresources/publications/875I published this paper with Mark Sarvary and Corey Ptak in the 2014 Proceedings of the Association for Biology Laboratory Education based on a laboratory module we...

  14. Exploring HIV Evolution

    05 Aug 2016 | Teaching Materials | Contributor(s):

    By Sam S Donovan1, Tony Weisstein2

    1. University of Pittsburgh 2. Truman State University

    In this activity you will study aspects of sequence evolution by working with a set of HIV sequence data from 15 different subjects (Markham, et al., 1998). You will first learn about the dataset,...

    https://qubeshub.org/publications/24/?v=1

  15. Needleman - Wunsch Algorithm Exercise

    03 Aug 2016 | Teaching Materials | Contributor(s):

    By Michael Sierk

    Saint Vincent College

    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.

    https://qubeshub.org/publications/28/?v=1

  16. Wolf Sheep Predation Simulation Exercise

    03 Aug 2016 | Teaching Materials | Contributor(s):

    By Liz Ryder

    Worcester Polytechnic Institute

    This resource is an exercise to introduce students to agent-based modeling of biological systems through working with a simple existing model.

    https://qubeshub.org/publications/29/?v=1

  17. RNA-seq Analysis

    03 Aug 2016 | Teaching Materials | Contributor(s):

    By Bill Morgan1, Matthew Reeder2

    1. The College of Wooster 2. Ohio State University

    In this computer lab module, students learn how to process an RNA-seq data set to identify differentially expressed genes (DEGs). The samples for this data set were collected from yeast cells...

    https://qubeshub.org/publications/27/?v=1

  18. Bald Eagle Module Introductory Powerpoint and Lab Report Rubric

    20 May 2016 | | Contributor(s):: Dustin Wilgers

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/836This is the powerpoint I used to introduce the bald eagle activity. It is fairly barebones as most of my powerpoints are. I also felt it necessary to modify the lab report...

  19. Modeling: A Primer - The crafty art of making, exploring, extending, transforming, tweaking, bending, disassembling, questioning, and breaking models

    26 Feb 2016 | | Contributor(s):: William Wimsatt, Jeff Schank

    This resource has been updated - find the current version here: https://qubeshub.org/publications/346Explore how to use, analyze, and criticize some important and historically influential models in biology in this text only module.

  20. DataONE Module 01: Why Data Management?

    03 Jan 2016 |

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/911Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.Slides (PPTX)One page...