LocusZoom was written in R using the grid and lattice graphics packages and runs within a Python wrapper. SQLite tables with relevant data for recombination rate, SNP position, annotation and gene information can be accessed using Python's built-in SQLite tools. A simple plot can be generated from the web form by uploading a file with SNP names and P-values, and specifying the region to be plotted and optional features using drop-down buttons. Typical run time for a single plot returned to the browser window is ∼20 s, not including time required to upload a meta-analysis file, which varies according to the user's internet upload speed and file size. To reduce upload time, users may choose to restrict data files to the region being plotted. To generate a series of locus plots from the web form, users can submit a specification file where custom specifications for each plot can be listed. When a specification file is used to draw many plots, a single pdf containing all generated plots is returned to the user by e-mail. Finally, users can download our scripts,
