Category Archives: Code
Using Python in PyMOL
Decades later, we owe Warren DeLano and his commitment to open source a great debt. Warren wrote PyMOL, an amazingly powerful and popular molecular visualization tool, but it has many hidden talents.
Perhaps its greatest strength is the use of the open source language, Python, as its control language.
Continue readingBuilding More Useful Bash Scripts
If there is some set of keystrokes that you find yourself using day in, day out, you can almost certainly write something that can automate the process. This could be something simple that could be achieved by putting a bash alias somewhere in your ~/.bashrc:
Improving your Python code quality using git pre-commit hooks
Intro
I recently completed an internship during which I spent a considerable amount of time doing software engineering. One of my main take-aways from this experience was that in industry, a lot more attention is spent on ensuring that code committed to a GitHub repo is clean and bug-free.
This is achieved through several means like code review (get other people to read your code), test-driven development (make sure your code works as you are adding functionality) or paired development (have two people work together on the same piece of code). Here, I will instead focus on a useful tool that is easy to integrate into your existing git workflow: Pre-commit hooks.
Continue readingFrom Jupyter to Slides using RISE
In preparation for remote teaching this year, I’ve spent the last few weeks converting the Doctoral Training Centre’s ‘Introduction to Computer Programming’ course into a series of Jupyter notebooks so that the course can be run entirely using Google Colaboratory.
Continue readingWhat can you do with the OPIG Antibody Suite? v2.0
Since my last blogpost on this topic back in 2018, OPIG has expanded its range of tools for antibody/BCR analysis. Here is an updated summary of the OPIG antibody databases and immunoinformatics tools.
Continue readingPyMOL: colouring proteins by property
We all love pretty, colourful pictures of proteins. There is quite a variety of programs to produce publication-quality images of proteins, some of the most popular being VMD, PyMOL and Chimera. Each has advantages and disadvantages — for example, VMD is particularly good to deal with molecular dynamics simulations (perhaps that’s why it is called “Visual Molecular Dynamics”?), and Chimera is able to produce breathtaking graphics with very little user input. In my work, however, I tend to peruse PyMOL: a Python interface is incredibly helpful to produce quick analyses.
Continue readingObserved Antibody Space + miAIRR
Today is the day for another (potentially penultimate) blog post from me. Using this opportunity, I would like to introduce to you our recent update to the Observed Antibody Space (OAS) resource.
Continue readingUploading/downloading small files across systems
Sometimes you just want to quickly move a copy of a script, image or binary from, for example, your local (linux) machine to another (linux) machine. The usual tool would be SCP, but this can get complicated when there are several layers of ssh and sometimes it doesn’t work at all (as is the case for transfers between the Department of Statistics computers and the outside world).
Continue readingVisualising macromolecules and grids in Jupyter Notebooks with nglview
If you do most of your work in Jupyter notebooks, it can be convenient to have a quick visualisation tool to view the results of your latest computation from within the notebook, without having to flick between the notebook and your favourite molecule viewer.
I have recently started using NGLview, an IPython/Jupyter widget, to do this. It is based on the NGL viewer, an embeddable webapp for macromolecular visualisation. The nglvew module documentation can be found here, and in addition to handling the usual formats for molecular structure (.pdb, .mol2, .sdf, .pqr, etc.) and map density(.ccp4 and more), it supports visualising trajectories and even making movies.
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