2018
- • Examining microbial genome assemblies using contiguity metrics
- • Automating the selection of genome assembly software
2016
2015
- • An audio discussion of microbial sequencing
- • The economics of PacBio sequencing a microbe
- • How I develop
2014
- • Continuous, reproducible genome assembler benchmarking
- • Bioinformatics software is a disgrace to our field.
- • Video: building robust Python programs using unit-tests
2013
- • Trimming 454 reads at the 5' end may improve fidelity
- • Filtering inaccurate NGS reads using machine learning
- • What's the point of publishing?
- • What's the point of writing good scientific software?
2012
- • Poster: Predicting genotype from phenotype
- • Reflection
- • Modularised parts connected by data
- • A Functional Approach
- • Makefiles
- • Introduction
- • Simple functional programming in R
2011
- • Bioinformatics - a wide set of transferable skills
- • Poster: Scaffolder software for genome finishing
- • Video: Introduction to phylogenetics
- • Experiments in Genome Scaffolding and Peer-Review
2009
- • Dealing with big data in bioinformatics
- • A common bioinformatics file format
- • Data analysis using R functions as objects
- • Manipulating CSV plain text data at the command line
- • Using sed to update text and images in the commandline
- • Keyboard, command line, and text files
- • Using a database
- • Scripting
- • Why write good software
- • Reuse, contribute, create
- • Writing good code
- • Git
2008
- • Latex
- • Vim
- • Video: The role of cost in gene expression
- • Organised bioinformatics experiments
- • World of Bioinformatics Quest: Character generation
2007
- • Why data testing is important in computational research
- • Nurturing your talent in academia
- • Poster: Manchester Life Sciences Symposia
- • Introduction to a career in bioinformatics
- • The Ph in a Bioinformatics PhD
- • Be more productive - throw away your mouse
- • Being a bioinformatician is hard
- • Deriving meaning from principal components analysis
- • The case for open science
- • Bio::Blogs 11 - special edition
- • Writing
- • Organising yourself as a dry lab scientist
- • The dark side of bioinformatics data mining
- • An introduction for data mining in bioinformatics