Search Results for "art-linux" - Page 10
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Showing 325 open source projects for "art-linux"
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DMETANALYZER
A tool for supporting pharmacogenomics data analysis
We developed DMET-Analyzer a tool for the automatic association analysis among the variation of the patient genomes and the clinical conditions of patients, i.e. the different response to drugs. The proposed system allows: (i) to automatize the workflow of analysis of DMET-SNP data avoiding the use of multiple tools; (ii) the automatic annotation of DMET-SNP data and the search in existing databases of SNPs (e.g. dbSNP), (iii) the association of SNP with pathway through the search in... -
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MolBioLib
C++11 framework for rapid develop and deploy of bioinformatic tasks.
MolBioLib is a compact, portable, and extensively tested C++11 software framework and set of applications tailored to the demands of next-generation sequencing data and applicable to many other applications. MolBioLib is designed to work with common file formats and data types used both in genomic analysis and general data analysis. A central relational-database-like Table class is a flexible and powerful object to intuitively represent and work with a wide variety of tabular datasets,... -
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GLMNB
GLMNB: a shape-based peak calling tool for ChIP-Seq data analysis
This is the beta-version of a shape-based peak calling tool for ChIP-Seq data analysis. It is built using Generalized Linear Model with Negative binomial distribution. This tool accounts for the common peak shape, local variability of peak shifting distance and negative binomial background noise. -
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R Hadoop for Big Data
Download Free Associated R open source script files for big data analy
Download Free Associated R open source script files for big data analysis with Hadoop and R These are R script source file from Ram Venkat from a past Meetup we did at http://www.meetup.com/R-Matlab-Users/events/85160532/ Also, there is a long video and Powerpoint presentation slide PDF with R files at: http://quantlabs.net/blog/2012/11/how-to-use-hadoop-and-r-for-big-data-parallel-processing-free-download-pdf/ Download source files from... -
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The pySpec project is a set of data analysis routines written in python for analysis of x-ray diffraction data produced by the SPEC X-Ray Diffraction and Data Acquisition software. This repo has moved to : https://github.com/stuwilkins/pyspec
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ROOTlib
C++ lib, that provides access to multiple ROOT routines (root.cern.ch)
This C++ lib is used and created to provide easy methods based on ROOT (a CERN data analysis framework). It was developed for use in practical courses but is not limited to. In addition it is ported step by step into Python. -
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EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.
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Electrophysiology & circular stats tools
Data analysis and circular statistics with OpenElectrophy and R
Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular... -
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PROJECT MOVED: see http://www.vmtk.org for up-to-date information. Libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis in image-based blood vessel modeling.
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China School bus
China School Bus Data Analysis model
International School Bus Operation Specification -
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QSAS plug-ins
Plug-ins for the space physics data analysis software QSAS.
The project is concerned with developing new plug-ins for the space plasma analysis software QSAS. The plug-ins are developed mainly for the Cluster II mission, Champ and Swarm. QSAS can be downloaded from: http://www.sp.ph.ic.ac.uk/csc-web/QSAS/ -
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pygolem
Python API for the GOLEM Tokamak discharge database
This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting. -
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NLOPredict is a nonlinear optical prediction and data analysis tool. Nonlinear optical measurements can yield information about the structure of crystals, and orientation of molecules at surfaces and interfaces.
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ANDS SISS (DC4B) Project
GIS-Enabled Infrastructure for Spatially Integrated Social Science
An on-line GIS-enabled infrastructure for spatially integrated social science. A web-based open source e-research facility for social-spatial data analysis that incorporates GIS-enabled visualisation (mapping and classification) and statistical modelling capabilities. -
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libcomposition
A C library to handle compositional (=closed) data, like proportions.
Inspired by Aitchison 2003 (http://www.amazon.com/The-Statistical-Analysis-Compositional-Data/dp/1930665784/) this library aims to make compositional data analysis rigorously. -
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SNP-Analyzer
SNP-Analyzer
SNP-Analyzer is a tool for the efficient Analysis and management of Affymetrix SNP DMET Data analysis -
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Web services to support the organization and data analysis of Age Calibration Workshops and Maturity Staging Workshops.
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OpenDinTest is a OpenOffice-Calc-Sheet for statistical Data-Analysis according to the german industry-norm DIN 32645. <br> <br> OpenDinTest ist eine OpenOffice-Calc-Datei zur statistischen Auswertung von Messdaten nach der DIN 32645. <br>
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rvis
Genomic rearrangement evidence data analysis and visualization program
Genomic rearrangement evidence data analysis and visualization program -
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The project would include the development of XUL, CSS and Javascript components to assist biologists in sequence manipulations, data mining, data analysis, etc.).
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Databases to aid Metabolomics projects providing storage functionality for raw and preprocessed data, and integration with existing data analysis environments.
