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Phylogenetics & Phylogeography (lecture-part 1)
Phylogenetics & Phylogeography (lecture-part 2)
Phylogenetics & Phylogeography (lecture-part 3)
Phylogenetics & Phylogeography (lecture-part 4)
Phylogenetics & Phylogeography (lecture-part 5)
Molecular epidemiology - practical 1
Molecular epidemiology - practical 1 review
Molecular epidemiology - practical 2 part 1
Molecular epidemiology - practical 2 part 2
Molecular epidemiology - practical 2 review
Molecular epidemiology - practical 3 part 1
Phylogenetic analysis of pathogens (lecture - part1)
Phylogenetic analysis of pathogens (lecture - part2)
Phylogenetic analysis of pathogens (lecture - part3)
Phylogenetic analysis of pathogens (lecture - part4)
Phylogenetic analysis of pathogens (lecture - part5)
1.Introduction to data analysis - course overview (lecture)
2.Introduction to networks (lecture)
BioLayout Express3D - background and benefits (lecture)
BioLayout Express3D – getting started 1 (Practical Session)
BioLayout Express3D – getting started 2 (Practical...
Phylogenetics & Phylogeography Practical - Overview
Phylogenetics & Phylogeography Practical 1
Phylogenetics & Phylogeography Practical 2 - Part 1
Phylogenetics & Phylogeography Practical 2 - Part 2
Phylogenetics & Phylogeography Practical 3
Many Views of A Pathway(Lecture)
Pathway Models & Pathway Types (Lecture)
Sources of ‘Pathway Data’ (Lecture)
Practical Session: Pathway to Pathway Construction - yED(1)
Introduction to Data Summary & Types of data
Continuous Data – Measures of Location
Continuous Data – Measures of Spread & Accuracy
Continuous Data with Skewed or Odd Distributions – Measures of Spread
Choosing Appropriate Summary Statistics...
Choosing Between Parametric & Non-Parametric Tests
T-Test for Comparing Two Groups
T-Test – Interpreting Software Output
Mann-Whitney U-Test to Compare Two Groups When Data Are Not Normally Distributed
One-Way Analysis of Variance (ANOVA) Recap
Two-Way ANOVA - Assessing Two Effects in Same Model
Two-Way ANOVA - Allowing for Structure in The Data
Paired T-Test Using Two-Way ANOVA & ANOVA With More Effects
Potential Analysis Approaches
Mixed Model Analysis
Covariance Pattern Model
Example – Covariance Pattern Model
Significance Testing for Fixed Effects
Random Coefficients (Slopes) Models
Example – Random Coefficients...
Python is a flexible programming language that is becoming increasingly popular for scientific computing. The course is is split into 12 modules and runs over two half days. At the end of each module there a number of exercises to help solidify the learning. By the end of...
R is a programming language and associated environment developed for statistical computing and data analysis. It provides many powerful tools for statistics, data visualisation and bioinformatics.
- What R is suitable for.
- How to use R...
Perl is a programming language for getting your job done. It is designed to make the easy jobs easy, without making the hard jobs impossible. Perl is also well known for BioPerl, a collection of modules which greatly simplify complicated bioinformatics tasks.
We make extensive use of both light and electron microscopy in our research. The aquisition of images by a microscope is only the beginning of the process of extracting meaningful and useful information from those images. As well as extracting information, it's...
Galaxy is an open, web-based platform for data intensive biomedical research. It offers an accessible, reproducible and transparent computational workbench for the biologist. This workbench is very useful in automating repeated analysis steps in the form of workflows. The...