sillitoe Goto Github PK
Name: Ian Sillitoe
Type: User
Company: University College London
Location: London, UK
Blog: http://sillit.com
Ian Sillitoe's Projects
3cnet
3d-beacons-specifications
3dmol.js
WebGL accelerated JavaScript molecular graphics library
app-perlbrew
Manage perl installations in your $HOME
bio-minecraft
Explore cell biology in Minecraft
bio-pdbx
Simple parser for PDB XML header files in Perl
biohackathon
Repository with information about the BioHackathon hosted in Paris in Nov 2018
biojs
A library of JavaScript components to represent biological data
biojs-events
convenience wrapper for a event system
biojs-io-fasta
parses fasta files
biojs-io-parser
A generic BioJS parser
biojs-vis-pdbviewer
PDB structure viewer (BioJS 2.0)
biojs.net
Repository for BioJS.net pages
biojs.net2
Redesign of Biojs.net Website
bioperl-live
Core BioPerl 1.x code
bioschemas.github.io
Files for the Bioschemas website.
bootstrap-slider
A less buggy "fork" of the original bootstrap slider found on http://www.eyecon.ro/ by Stefan Petre. It was forked so we could update the slider since the original wasn't under version control.
catalyst-actionrole-tabs
Add tabs to Catalyst controller actions
cath-cluster-ng2
Web component to view collections of protein sequences and structures
cath-coding-intro
Getting new students thinking about collaborative coding in a scientific environment
cath-funfam-uniprot
Mapping CATH FunFams with UniProtKB
cath-human-funfam-mda
Retrieve human funfam entries from CATH (including MDA information)
cath-nr-generate-clusters
cath-structural-cluster-example
cath-tiny-perl
low dependency collection of perl modules and scripts to process data from CATH (protein structure classification)
cath-tools
Protein structure comparison tools such as SSAP and SNAP
cath-tools-2dsec
schematic secondary structure based figures from multiple structure alignments
cathpy
Python Bioinformatics Toolkit for CATH (Protein Classification Database @ UCL)
code_to_check
Contains code for members of the group to check.
d3-sankey
Visualize flow between nodes in a directed acyclic network.
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