Search Results for "windows scripts"
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Showing 9 open source projects for "windows scripts"
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TXM
Unicode XML TEI text analysis platform
TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP... -
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The application Bio7 is an integrated development environment for ecological modelling and contains powerful tools for model creation, scientific image analysis and statistical analysis. The application itself is based on an RCP-Eclipse-Environment (Rich-Client-Platform) which offers a huge flexibility in configuration and extensibility because of its plug-in structure and the possibility of customization.
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dataMAPPs
R based pipeline for MHC-associated peptide proteomics (MAPPs) data
dataMAPPs allows routine and efficient processing of data from immunogenicity studies applying the MAPPs peptidomics technology to detect potential MHCI- or MHC-II epitopes as presented by dendritic cells (DC). It features quality control of the raw data, across-sample/across-donor normalization and visualization of results in a heatmap style (heatMAPPs). dataMAPPs' core is a generic R library that can be tailored to specific projects via dedicated control scripts which also allow... -
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BEMoDA
Dissolution profile comparison Model Dependent-Independent Approach
Dissolution profile comparison (Biowaiver aid) Model Dependent-Independent Approach scripts for in-vitro dissolution profile comparison as proposed by Sathe et al. in 1996 (Sathe PM, Tsong Y, Shah VP. In-vitro dissolution profile comparison: statistics and analysis, model dependent approach. Pharm Res. 1996 Dec;13(12):1799-803) and Tsong et al. in 1996 (Tsong Y, Hammerstrom T, Sathe P, Shah VP. (1996) Statistical Assessment of Mean Differences between Two Dissolution Data Sets, Drug Info. J.... -
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NppToR: R in Notepad++
NppToR provides R auto-completion and code passing between Notepad++ a
Similar to the windows R gui built in editor, NppToR aims to extend the functionality of code passing to the Notepad++ code editor. In addition to passing to the R gui, NppToR provides optional passing to a PuTTY window for passing to an R instance a remote machine. Easy shortcuts are also provided for easy batch execution, with a monitor for longer running scripts. -
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budden2015treeome
Scripts and supplementary data for budden2015treeome manuscript
Scripts and supplementary data for the manuscript "Modelling the conditional regulatory activity of methylated and bivalent promoters" -
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SimiTriX-SimiTetra
Similarity, Comparative genomic, Visualization, Eclipse RCP, SimiTri
This application system is based on Eclipse RCP, and it uses the JFreeChart and JOGL library to implement the chart drawing and OpenGL. There are some scripts to generate similarity data for main application and to analysis result. It is an useful tool to visualize relative similarity relationship between different datasets. -
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...The library includes a graphical user interface to simplify its use. Note that the 2.0-1 version is delivered as a source (*.tar.gz for Linux and Mac users) and as a binary file (*.zip, for Windows users). The installation procedure differs slightly according to your system; but this should remain simple. Have a look at the readme file when you download your new copy from https://sourceforge.net/projects/rawgeno/files/rawgeno/RawGeno%202.0-1/ Make also sure to have a look at https://sourceforge.net/projects/rawgeno/files/ where you can find a detailed manual, demo datasets and many demo scripts.
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Multiple optima
Scripts used to detect multiple optima of likelihood on real data.
R scripts and sequence data used in the paper "Multiple local maxima for likelihoods of phylogenetic trees constructed from biological data." by McComish BJ, Schliep KP and Penny D (submitted to Systematic Biology). -
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