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Various scripts used in sequencing, annotation and RNAseq analysis
... that all files are the version used in the analysis.
Also, please be aware that these were very much developed with expediency in mind - that is, the process was expected to be performed in its final form once; little care was given to optimising runtime or chaining scripts together, and sometimes external resources are accessed manually.
Find relationships between repeatedly observed items
CoNet is a Cytoscape plugin that detects significant non-random patterns of co-occurrence (copresence and mutual exclusion) in incidence and abundance data. It has been designed with (microbial) ecological data in mind, but can be applied in general to infer relationships between objects observed in different samples (for example between genes present or absent across organisms).
LiverSegm has been developed with the processing of liver images in mind. This software implements a level set based variational approach that incorporates shape priors and appearance models. It uses ITK Snap as interface.
A colorized interactive dotplot program designed for pair-wise comparisons of RNA & DNA. The original idea was from the mind of late Prof. William J. Dreyer of Caltech. The idea is to be able to see the "tapestry" of life, which comes alive with color.
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This program has been written having in mind to create an useful tool to evaluate the Motor Evoked Potentials (MEPs) generated by Transcranial Magnetic Stimulation (TMS) and recorded with the program "Signal" (version 2.xx).
ptsa (pronounced pizza) is a Python module for performing time series analysis. Although it is specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), the code should be applicable to almost any type of time series.