Lecture via google hangout by Karl Broman, to Graduate Researchers interested in Data (GRiD) at UMass Amherst, on steps to take in the effort to adopt a reproducible workflow in one's data analysis work. Slides at http://bit.ly/UMass2016
Deadlock in Operating System
Waffle Play's Unturned - Surviving On The Tutorial World - Part 2
Moving Car & Walking Man Project in C/C++ Small project
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X-ACTO® KS™ Manual Classroom Pencil Sharpener (1031)
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CaptchaApp - МАШЕННИЧЕСТВО.
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Cleaning genotype data for diversity outbred mice
Open access publishing
Creating effective figures and tables
Allele frequencies in sibships: a data mishap
Steps toward reproducible research
Developing, maintaining, and supporting software: R/qtl
Containers for reproducibility
Dissecting and fine-mapping trans-eQTL hotspots
Building regression models: multiple-QTL mapping
R Markdown for papers
Big jobs/simulations; caching computations
Permutation tests with selective genotyping
Software testing and debugging
Data visualization
Writing R packages
Bootstrap confidence intervals for QTL location
Software/data licenses and human subjects data
Shoveling snow at 8x speed
ggplot2 within Minecraft
ggplot2 in MineCraft
Elsa in Minecraft
Experimental Design, Basic Statistics, and Sample Size Determination