Search Results for "unitils-test"
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Showing 26 open source projects for "unitils-test"
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incertR
Incertitudes de Mesures de la Qualité de l'Air (Gaz et Particules)
Ensemble de fonctions permettant, à partir d'une base de données contenant les paramètres analyseurs, de réaliser les calculs d'incertitudes sur les mesures automatiques agrégrées de qualité de l'air. -
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CyberUnits
Class library for computational cybernetics
CyberUnits is a cross-platform class library for rapid development of high-performance computer simulations in life sciences. It supports modelling for biomedical cybernetics and systems biology with Object Pascal. -
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Computer programs for application in Sports science, Physical Culture, among others. By Enrique R.P. Buendía Lozada. buendiaenr@gmail.com , Benemérita Universidad Autónoma de Puebla (BUAP), México. (Software without any warranty).
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dBEAST
digest BEAST
This code has been used in the study: Distinct rates and patterns of spread of the major HIV-1 subtypes in Central and East Africa; PLoS Pathogens 2019 https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1007976 Please note that the code includes test input data that does not necessarily reproduce the results included in the manuscript. -
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An R package for metrology. metRology provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and (eventually) inter-laboratory metrology comparison studies.
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MANTIS R Package
Multi-locus ANTIgenic Simulator R-package for multi-strain pathogens
...For theoretical background please refer to 'MANTIS: an R package that simulates multilocus models of pathogen evolution' (https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0598-9 OPEN ACCESS) At the moment, MANTIS is not available on CRAN. To build a source package of MANTIS, use the script buildPackage.R To install MANTIS use 'install.packages(file.tar.gz,type="src",repo=NULL)' To test use test_V3.3_code.R Contact the main author of the publication above for further details. Have fun! -
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TEACUP
TCP Experiment Automation Controlled Using Python
...TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP congestion control algorithm), an experiment is made up of multiple tests. For each experiment and test, TEACUP collects a range of data, such as tcpdump files of traffic seen or TCP stack information (e.g. using Web10G). TEACUP also collects a variety of metadata from the end hosts and bottleneck router, such as the actual OS/kernel version(s) used. TEACUP also provides some simple tools for analysing the results of experiments, such as plotting a flow's experienced RTT over time. -
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Ship Lock Scheduling
Scheduling lockages at ship locks with several parallel lock chambers
This Java software includes algorithms of combinatorical optimization for the NP-hard offline ship lock scheduling problem. Solutions and performed computations can be displayed graphically. Besides, there is a framework for generating test instances and running these in parallel, as well as R/JGR code for statistical evaluation. Some tools for estimating the quality of calculated solutions will be further improved. Initially the software was developed within a project of TU Berlin regarding the Kiel Canal. See project wiki for conditions that should be met by applications. -
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Community Detection Modularity Suite
Suite of community detection algorithms based on Modularity
- MixtureModel_v1r1: overlapping community algorithm [3], which includes novel partition density and fuzzy modularity metrics. - OpenMP versions of algorithms in [1] are available to download. - Main suite containing three community detection algorithms based on the Modularity measure containing: Geodesic and Random Walk edge Betweenness [1] and Spectral Modularity [2]. Collaborator: Theologos Kotsos. [1] M. Newman & M. Girvan, Physical Review, E 69 (026113), 2004. [2] M.... -
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EDDA
Experiment Design for Differential Abundance Analysis
EDDA is a tool for systematic assessment of the impact of experimental design and the statistical test used on the ability to detect differential abundance. EDDA can aid in the design of a range of common experiments such as RNA-seq, ChIP-seq, Nanostring assays, RIP-seq and Metagenomic sequencing, and enables researchers to comprehensively investigate the impact of experimental decisions on the ability to detect differential abundance. -
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The Protein Similarity Network
Human protein similarity network used to predict drug safety.
...We found that this network is particularly useful to distinguish approved from problematic drug-targets. Here you also find the complete set of programs and datasets we used for this purpose. Free to help further test and develop this project. Your help and expertise are much appreciated ! If you have any questions, please do not hesitate to contact us in the forum or by email. Please see the original manuscript: Lopes, TJS, et al. (2015) - "Identifying problematic drugs based on the characteristics of their targets" - Frontiers in Pharmacology doi: 10.3389/fphar.2015.00186 -
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PS Matching in SPSS
Propensity score matching in SPSS
Propensity score matching in SPSS Provides SPSS custom dialog to perform propensity score matching. Using the SPSS-R plugin, the software calls several R packages, mainly MatchIt and optmatch. Proper citations of these R packages is provided in the program. -
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Toolchain for quantification of fluorescence intensity and morphological parameters in single cells using microscope based cytometry.
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PAMGuide
An analysis tool in MATLAB and R for acoustic habitat characterisation
PAMGuide is acoustic analysis software for the characterisation of the acoustic environment from sound recordings. PAMGuide can be used to produce calibrated spectrograms and statistical analyses of sound levels, and is provided in both MATLAB and R. A Tutorial on getting started with PAMGuide can be downloaded here: http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12330/suppinfo PAMGuide was published as supplementary material to the following Open Access journal... -
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NGSbinningpytools
Python tools for binning NGS scaffolds to various genomes.
Next generation sequencing has opened new avenues for sequencing prokaryotes which were difficult or either impossible to culture. Now, it is possible to sequence all organisms present in a metagenomic community. However, a critical problem is to determine the host organism for each genomic fragment present in the dataset. This project provides the computational tools for assigning the organismal identity for each genomic scaffold in the given dataset. For more detailed documentation... -
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SimAssem
For processing and/or simulating species assemblage data.
SimAssem is a tool for investigating the performances of species richness estimators across widely ranging assemblages and survey designs. Assemblages are simulated by specifying the: 1) number of species, 2) total abundance of individuals, 3) abundance distribution, 4) spatial configuration, 5) species detection probabilities, 6) survey design, and 7) number of grid cells to survey (out of a square grid comprised of 10,000 cells). SimAssem also processes existing encounter data and formats... -
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msBayes allows complex and flexible phylogeographic inference. More specifically, you can test the simultaneous divergence (TSD) of multiple population (species) pairs. It uses approximate Bayesian computation (ABC) under a hierarchical model.
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FishingCNV
Copy number variation (CNV) detection in exome sequencing data
FishingCNV, a software tool developed at McGill University, is a tool for comprehensive analysis of rare copy number variations in high-throughput exome sequencing data. The inputs are standard coverage files produced by Genome Analysis ToolKit (GATK), and the output is a file containing putative CNVs. The program comes in 2 different releases * GUI version (FishingCNV_X.X.X.zip) * Command line version (FishingCNV_X.X_pipeline) Browse through our files to find the different releases. -
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ClinStudyWeb is designed to provide a flexible infrastructure for managing patient and assay data from clinical studies. It uses a plugin system for study-specific web forms and arbitrarily complex test classifiers, and supports XML import/export.
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MCPerm: Monte Carlo SNP permutation
Monte Carlo permutation method for SNP multiple test correlation
MCPerm: A Monte Carlo permutation method for multiple test correlation in case-control association study Traditional permutation (TradPerm) test is an important non-parametric analysis method which can be treated as the gold standard for multiple testing corrections in case-control association study. However, it relies on the original single nucleotide polymorphism (SNP) genotypes and phenotypes data to perform a large number of random shuffles, and thus it is computationally intensive, especially for genome-wide association study (GWAS). ... -
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R Unit test framework R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools
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SPA - SNP based pathway analysis
SNP based pathway analysis
Name: SPA Full name: SNP based pathway analysis Maintainer: jiangyongshuai@gmail.com liuguiyou1981@163.com Language: R package Description: SPA is an R package which can identify disease or phenotype related pathways. Input rs# and GWAS test p-values, you can get the related pathways. -
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colonyzer image analysis software
Image analysis estimating cell density in arrayed microbial cultures
Image analysis software for quantification of cell density in microbial cultures (e.g. S. cerevisiae) growing on solid agar plates. Specialises in detection of extremely low cell densities. Forms part of the Quantitative Fitness Analysis (QFA) workflow: http://research.ncl.ac.uk/qfa/ Suitable for high-throughput, genome-wide analysis of culture libraries when combined with the following qfa R package: http://qfa.r-forge.r-project.org/ This is the version presented, used and... -
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Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
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