Open Source S/R Software - Page 7
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S/R Software
Browse free open source S/R Software and projects below. Use the toggles on the left to filter open source S/R Software by OS, license, language, programming language, and project status.
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P2EMA (Perl Pipeline to Expedite Microsatellite Analysis)
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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 article: Merchant, N.D., Fristrup, K.M., Johnson, M.P., Tyack, P.L., Witt, M.J., Blondel, P., Parks, S.E. (2015). Measuring acoustic habitats. Methods in Ecology and Evolution. http://dx.doi.org/10.1111/2041-210X.12330 -
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PANDA
A comprehensive and flexible quantification tool for proteomics data
PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. On the levels of spectra, peptides and proteins, PANDA works out a few quantitative filters and new scores for quantification confidence. Third, PANDA is designed for processing proteomics big data in parallel. -
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This is for the first shoots of the project. Here the R package will grow up. The PASMAE is "um Protocolo para Ajuste e Seleção de Modelos de Abundância de Espécies" in portuguese.
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PROMPT is a system for retrieval, analysis, mapping and comparison of proteins. It allows easy mapping of different types of sequence IDs, data retrieval and integration, a multitude of analysis and comparison algorithms and a full-blown easy to use GUI.
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Panacea
PAN And Core-gEnome Analysis
A tool to calculate the Pan-Genome of a set of annotated genomes -
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Penobscot River RKM Calculator
Look up in river distances in the Penobscot River drainage.
Allows user to input a .csv of UTM coordinates within the Penobscot River basin and calculates in-river distance (in kilometers) from the river's mouth to the locations of interest. The results are output into a new .csv file named yourfilename+RKM.csv. For the purposes of this calculator, river kilometer 0 is located at 516414E 4927755N in UTM Zone 19N, near the southwest corner of Verona Island. Simply download the setup file and run it to install the program. Please contact me with suggestions to improve this program. -
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Pgenesniffer
Find variants that overlap with pseudogenes
This tool will allow individuals to find and quantify the overlap of variants with pseudogenic sequences. -
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PheMaDB is a web-based data management system to store and analyze OmniLog Phenotype Microarray data. The manuscript can be accessed here: http://www.biomedcentral.com/1471-2105/12/109. Chang WE et al. BMC Bioinformatics. 2011 Apr 20;12(1):109.
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Neural Network for physicists. A flexible code in which the user has high control of the network parameters. The code provides a chi^2 cost function. The code accepts user-defined cost function and neuron activation functions.
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Pi-VisualR
Qt-based C++ GUI programming interface to R
VisualR is a (currently) Windows only C++ GUI programming interface to R. It allows creating full featured applications that complelely control R and serves as a GUI programming toolkit that can be controlled from inside R code. -
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Pop-seq
Population simulator to solve next generation sequencing questions
Pop-seq is a perl based simulation tool, for generating any kind of mapping population using an user defined recombination landscapes. Combined with the Seq-sim tool you can generate pooled or bar-coded next generation sequencing biased outcomes. This tool were used to solve reappearing question in a experimental design (e. g. of how many plants or sequencing depth is advisable in a back crossed or out crossed scenario ) -
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Predictive Networks
Web application providing analysis of biomedical relationships.
Web application providing analysis of biomedical relationships. Built using the Grails web application framework (http://grails.org/) with MySQL (http://www.mysql.com/) as a back-end datastore and utilizing R (http://www.r-project.org/) for statistical analysis. Developed by the Dana Farber Cancer Institute (http://compbio.dfci.harvard.edu/) and Entagen (http://www.entagen.com). -
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An R script written by Martin Turjak, implementing a newly developed method for evaluating synapomorphy on phylogenetic trees. For details see: http://sourceforge.net/p/synapomorphy
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QRMlib provides a library of methods to investigate Quantitative Risk Management, including Market Risk, Credit Risk and Operational Risk, as developed in the book "Quantitative Risk Management: Concepts, Techniques and Tools".
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QUASI is a toolkit to rapidly assess the quality of shRNA-Seq based data and call differential abundance using common statistical inference methods (DESeq, edgeR, baySeq).
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a R package. 'Qair' gives access to data bases used by air quality monitoring associations in France. It also contains functions to manipualte air quality datas.
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QiSampler is an R script used as a command-line bioinformatics tool that evaluates the prioritization done by scoring schemes and experimental parameters of high throughput biological datasets.
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For software developers in domains involving statistical analysis, the "R + Java = Inf" project analyses and enhances the interoperability between the R and Java programming languages. The deliverables are source code, documentation and benchmarks.
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A collection of code, bundled into a single R package, to perform several aspects of data management, image pre-processing, data analysis and statistical inference related to the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI).
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We use R (www.r-project.org) in order to generate a greater specificity and sensitivity of protein identification by Mass Spectrometry. These functions are implemented as add-on packages to the open source GPL software R.
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R Unit test framework R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools
