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The 'epi' R Package

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The Epi package is mainly focused on "classical" chronic disease epidemiology. The package has grown out of the course Statistical Practice in Epidemiology using R.

The 'epibasix' R Package

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This package contains elementary tools for analysis of common epidemiological problems, ranging from sample size estimation, through 2x2 contingency table analysis and basic measures of agreement (kappa, sensitivity/specificity).

Appropriate print and summary statements are also written to facilitate interpretation wherever possible.

This package is a work in progress, so any comments or suggestions would be appreciated. Source code is commented throughout to facilitate modification. The target audience includes graduate students in various epi/biostatistics courses.

Grassroots DICOM (GDCM)

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Grassroots DICOM (GDCM) is an implementation of the DICOM standard designed to be open source so that researchers may access clinical data directly. GDCM includes a file format definition and a network communications protocol, both of which should be extended to provide a full set of tools for a researcher or small medical imaging vendor to interface with an existing medical database.

The 'epicalc' R Package

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Functions making R easy for epidemiological calculation.

Datasets from Dbase (.dbf), Stata (.dta), SPSS(.sav), EpiInfo(.rec) and Comma separated value (.csv) formats as well as R data frames can be processed to do make several epidemiological calculations.

TutatiX

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TutatiX it's a Dicom Viewer written in python. TutatiX try to be a guide to known how Dicom works and how to develop an application. The must important part of TutatiX it's the documentation that must be detailed and easy to understand.

OpenIGTLink

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The goal of OpenIGTLink is to provide a standardized mechanism to connect software/hardware through the network for image-guided therapy (IGT) applications. The features of OpenIGTLink include:

MassChroQ

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MassChroQ (Mass Chromatogram Quantification) software performs quantification of data obtained from mass-spectrometry techniques. It is particularly well suited for peptide quantification of LC-MS (Liquid Chromatography - Mass Spectrometry) data. It performs chromatographic alignment, XIC extraction, peak detection and quantification on identified peptides, with or without isotopic labeling, on high or low resolution data and it takes into account peptide or protein fractionation.

SCIRun

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SCIRun is a problem solving environment or "computational workbench" in which a user selects software modules that can be connected in a visual programing environment to create a high level workflow for experimentation. Each module exposes all the available parameters necessary for scientists to adjust the outcome of their simulation or visualization. The networks in SCIRun are flexible enough to enable duplication of networks and creation of new modules.

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