BIOS² Education resources
Introduction to Microbiome Analysis
This workshop will give an overview of the theory and practice of using metabarcoding approaches to study the diversity of microbial communities. The workshop will give participants an understanding of 1) the current methods for microbiome diversity quantification using metabarcoding/amplicon sequencing approaches and 2) the normalization and diversity analysis approaches that can be used to quantify the diversity of microbial communities.
Introduction to Generalized Additive Models (GAMs)
To address the increase in both quantity and complexity of available data, ecologists require flexible, robust statistical models, as well as software to perform such analyses. This workshop will focus on how a single tool, the R mgcv package, can be used to fit Generalized Additive Models (GAMs) to data from a wide range of sources.
Introduction to Shiny Apps
Introduction to interactive app development with R Shiny.
Generalized Linear Models for Community Ecology
In this workshop we will explore, discuss, and apply generalized linear models to combine information on species distributions, traits, phylogenies, environmental and landscape variation. We will also discuss inference under spatial and phylogenetic autocorrelation under fixed and random effects implementations. We will discuss technical elements and cover implementations using R.
Introduction to EDI Concepts in a Scientific Context
A short introduction to EDI concepts in a scientific context.
Mathematical Modeling in Ecology and Evolution
This workshop will introduce participants to the logic behind modeling in biology, focusing on developing equations, finding equilibria, analyzing stability, and running simulations.Techniques will be illustrated with the software tools, Mathematica and Maxima. This workshop was held in two parts: January 14 and January 16, 2020.