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REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
28 Aug 2019 | Teaching Materials | Contributor(s):
By Jessica Joyner
CUNY Brooklyn College
Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
https://qubeshub.org/publications/1314/?v=1
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Hwayeon Ryu - Bio-Stats learning community
Collections |
01 Aug 2019 |
Posted by Carrie Diaz Eaton
https://qubeshub.org/community/groups/smb/collections/smb-2019-presentations
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Marney Pratt
https://qubeshub.org/community/members/12436
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Bob Carey
https://qubeshub.org/community/members/12398
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Radiant Lite
24 Jul 2019 | | Contributor(s):: Drew LaMar
Stripped down version of Radiant on QUBES
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Passion-Driven Statistics
03 Jun 2019 | Teaching Materials | Contributor(s):
By Lisa Dierker
Wesleyan University
E-book in .pdf format and customizable .iba format
https://qubeshub.org/publications/1257/?v=1
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Elizabeth Hamman
I'm a quantitative population & community ecologist who mostly works in marine and aquatic systems, and started at St. Mary's College of Maryland as an assistant professor in the fall...
https://qubeshub.org/community/members/10499
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MS in Data Science at University of Delaware
Collections |
23 Jan 2019 |
Posted by Alycia Crall
https://qubeshub.org/community/groups/edsin/collections/opportunities-in-the-field
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Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
04 Jan 2019 | Teaching Materials | Contributor(s):
By Mark Phillip Peterson1, Jacob T Malloy2, Vincent P Buonaccorsi2, James H Marden3
1. Viterbo University 2. Juniata College 3. Pennsylvania State University
This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...
https://qubeshub.org/publications/1005/?v=1
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Dovi Kacev
https://qubeshub.org/community/members/10266
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Kate S Boersma
https://qubeshub.org/community/members/10172
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Andrew Tyre
https://qubeshub.org/community/members/10057
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Geraldine Klarenberg
Name tag: https://www.name-coach.com/geraldine-klarenberg
https://qubeshub.org/community/members/9762
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DataCamp
05 Nov 2018 | Teaching Materials
DataCamp: The Easiest Way to Learn Data Science Online
https://qubeshub.org/publications/913/?v=1
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50 Years of Data Science
30 Oct 2018 | Teaching Materials | Contributor(s):
By David Donoho
Stanford University
This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...
https://qubeshub.org/publications/912/?v=1
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Java Applets for Power and Sample Size
30 Oct 2018 | Teaching Materials | Contributor(s):
By Russ Lenth
Statistics and Actuarial Science Department, University of Iowa
This is a Java application that allows you to do power and sample-size calculations for a number of standard statistical models.
https://qubeshub.org/publications/899/?v=1
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Statistics for Biologists
30 Oct 2018 | Teaching Materials | Contributor(s):
By Magdalena Skipper1, Ritu Dhand1, Helen Pearson1, Francesca Cesari1
Nature
There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.
https://qubeshub.org/publications/897/?v=1
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OpenIntro
29 Oct 2018 | Teaching Materials | Contributor(s):
By Divid Diez1, Chris Barr1, Mine Çetinkaya-Rundel2
1. OpenIntro 2. Duke University
OpenIntro was started with one goal in mind: create a free and open-source introductory textbook.
https://qubeshub.org/publications/889/?v=1
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A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
https://qubeshub.org/publications/833/?v=1
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Linear Models and Linear Mixed Effects in R: Tutorial 1
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The first of two tutorials that introduce you to linear and linear mixed models.
https://qubeshub.org/publications/832/?v=1