Name: Nathan L Brouwer
Type: User
Company: University of Pittsburgh
Bio: Lecturer @ University of Pittsburgh Dept of Biological Sciences. R, mixed effects models, quantitative ecology, demographic modeling, under graduate education
Location: Pittsburgh, PA
Blog: https://brouwern.wordpress.com/about/
Nathan L Brouwer's Projects
Syllabus for Biological Sciences 1010: Communication in the Biological Sciences
An R-based companion to Whitlock & Schluter's Analysis of Biological Data
Reading guide to Whitlock & Schluter's Analysis of Biological Data
Function for cleaning animal respiration data
Analysis of bird community monitoring data from the Mazan Reserve, Ecuador
Example datasets from the life sciences for statistics, data visualization, and data science.
Website for N Brouwer's Foundations of Biology 2 (BIOSC 0160) at the University of Pittsburgh
Course website for BIOSCI 1120: Biostatistics at the University of Pittsburgh Department of Biological Sciences
Data and code related to Foundations of Biology 2 independent genomics investigation
Syllabus for Foundations of Biology 2 at the University of Pittsburgh.
Syllabus for BioSic 0835 "Our Changing World" at the University of Pittsburgh
Syllabus and resources for BioSci 1540 Computational Biology at the University of Pittsburgh
Lecture slide decks for BIOSCI 1540 at the university of Pittsburgh.
Molecular biology lab protocols for detecting avian malaria, determining avian sex
Replication of Altschul and Gish 1996 "Local Alignment Statistics"
R for ecologists
Notes on plotting in R, with a special focus on ggplot.
Datasets used in my portfolio at https://bit.ly/brouwer_portfolio
Replication of carnivore phylogeny examples from Baum and Smith (2013) Tree Thinking chapters 7, 8, 9
Case studies and worked examples of eco- and biological statistics.
Compile multiple forms of climate and environmental data into a single dataframe and prepare for use in analyses (ie time lags)
Experimental R package to access Canvas LMS API based on gh
Condensed guides to key R functions
Teaching materials related to Whitlock & Shulter's "Analysis of Biological Data" 2nd ed.
Assignments for Computational Biology Fall 2021 at the University of Pittsburgh
A repository of data and lessons introducing key concepts related to computational biology.
Computational Biology for Book
A blog on computational biology and bioinformatics
Implementation and explication of count-based population viability analysis (PVA) of Dennis et al. (1991), Morris & Doak (2002), and subsequent extensions.