Open Source MATLAB Bio-Informatics Software
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MATLAB Bio-Informatics Software
View 56 business solutionsBrowse free open source MATLAB Bio-Informatics Software and projects below. Use the toggles on the left to filter open source MATLAB Bio-Informatics Software by OS, license, language, programming language, and project status.
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Systems Biology Markup Language (SBML)
A file format for exchanging computational models in systems biology
The Systems Biology Markup Language (SBML) is an XML-based description language for representing computational models in systems biology. Visit the project web site to learn more. -
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AKtoolbox
Matlab Toolbox for coevolution analysis of multiple sequence alignment
AK Toolbox is a Matlab Toolbox for co-evolution analysis for protein Multiple Sequence Alignment (MSA) distributed under Simplified BSD License. The aim of AK toolbox is to provide a set of Matlab functions, which are independent of Matlab Bioinforamtics Toolbox, for coevolution anaylsis for MSA. At present, co-evolution methods available in this package are Statistical Coupling Analysis (SCA), Explicit Likelihood of Subset Covariance (ELSC), Mutual Information (MI), Observed Minus Expected Square method (OMES), McLanhlan Based Substitution Correlation (MCBASC), Direct-coupling analysis (DCA) and logR. Enclosed in this package is also an archive of different Bioinformatics matrices. -
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CS Miner
A tool for Navigating in Chemical Space
CS-Miner stands for Chemical Space Miner and is a software tool for navigating in chemical space of compound databases. It helps for deriving appropriate classification models and performing virtual screening. Download it via: http://csminer.com/csm/?p=7 A quick tutorial is available through: http://csminer.com/csm/?p=8 -
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KARDIA ("heart" in Greek) is a Matlab software with a graphic user interface designed for the analysis of cardiac interbeat interval data.
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JOELib/JOELib2 is a cheminformatics library which supports SMARTS substructure search, descriptor calculation, processing/filtering pipes, conversion of file formats, 100% pure Java, and interfaces to external programs (e.g. Ghemical) are available.
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Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
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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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FGAP
an automated gap closing tool
Development version: https://github.com/pirovc/fgap FGAP aims to improve genome sequences by merging alternative assemblies or incorporating alternative data, analyzing the gap region and indicating the best sequence to close the gap. -
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An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.
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RAFTS³G
Rapid Alignment Free Tool for Sequences Similarity Search to Groups
| RAFTS3G - Rapid Alignment Free Tool for Sequences Similarity Search to Groups| % Clustering algoritm to create homology clusters based on RAFTS3 (VIALLE, R. A.) % More informations about RAFTS3 in: https://sourceforge.net/projects/rafts3/ % Professional and Technical Education Sector from the Federal University of Paraná - Bioinformatic Lab. % Federal of Paraná University - UFPR % Dr. Alcides Vieira Arco-verde street, 1225 % CEP: 81520-260 Jardim das Américas % Curitiba – PR % Brazil % % Developers and colaborators: % Roberto T. Raittz % Bruno T. L. Nichio % Ricardo A. Vialle % Aryel M. R. de Oliveira % Camilla R. Pierri % Leticia G. C. Santos % Alexandre Q. Lejambre % Nilson A. R. Coimbra % Dieval Guizelini % Jeroniza N. Marchaukoski % Fabio de O. Pedrosa -
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Systems Glycobiology
Glycosylation Network Analysis Toolbox (GNAT)
GNAT is an open source, platform-independent MATLAB based toolbox. It is written in MATLAB and Java. It has been tested in Windows (Windows 7), Linux (Ubuntu), and Mac OS (X Lion) platforms. The original GNAT package (file GNAT.zip) provides functions for reading, writing, manipulation, visualization and simulation of glycan structures and glycosylation reaction networks (citation [1]). The second version of this software (GNATv2beta.zip) upgrades the original GNAT program with additional features that are geared towards incorporating glycan-structure experimental data into the simulation environment. For information about GNAT installation and usage, please see the GettingStarted.pdf file enclosed in the package. To cite GNAT: [1] Gang Liu, Apurv Puri and Sriram Neelamegham, Glycosylation Network Analysis Toolbox (GNAT): a MATLAB based environment for systems glycobiology, Bioinformatics 2013 29: 404-406 -
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MetaOpen
Metabolomics Bioinformatics Tools
Our bioanalytical research exploits practical and efficient high-throughput technologies for the analyses of complex mixtures derived from living systems. This will facilitate the development of preventive, predictive and personalized medicine for specific diseases and will promote health and wellness. We use a number of high-throughput analytical platforms including multidimensional liquid chromatography-mass spectrometry (MDLC-MS) for proteomics, and for metabolomics; liquid chromatography-mass spectrometry (LC-MS), and comprehensive two-dimensional gas chromatography-mass spectrometry (GCxGC/TOF-MS). Each type of analysis affords limited analyte coverage of molecules present in a patient sample and therefore provides only a partial molecular profile for an individual patient. These diverse analytical data must be integrated with advanced bioinformatics methods for accurate evaluation of health and detection of disease susceptibility. -
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PHACCS is a bioinformatic tool designed for a scientific public. It gives estimates of the structure and diversity of uncultured viral communities using metagenomic information.
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sigTOOL provides a user-extendable signal analysis environment for processing electrophysiological data within MATLAB. Neuron spike-train, + spectral and time-domain analyses are built in. See http://dx.doi.org/10.1016/j.jneumeth.2008.11.004
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ChelomEx
Isotope assisted discovery of metal chelating agents from LC-MS data
ChelomEx identifies chromatographic features of metal complexes and associated free ligands or other related adducts in high-resolution LC-MS data. A built-in graphical user interface and compound library aid in the efficient evaluation of the results. If you use ChelomEx for your research, please cite our Analytical Chemistry paper that describes the software (http://dx.doi.org/10.1021/ac503000e). To comment, send bug reports or suggestions for additional features to be implemented in future versions please send me a message. The current version ChelomEx 1.2 from 06 January 2016 includes the following changes to the original version (ChelomEx 1.0): - function to filter discovered isotope patterns after the first analysis step (isotope pattern search), accessible in the Isotope Pattern toolbar (v1.2) - updates for compatibility with MatLab versions after 2014b (v1.2) - siderophore database update (v1.1) - can now also analyze negative mode data (v1.1) - bug fixes (v1.1) -
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DyMMM
Dynamic Multispecies Metabolic Modeling framework
The Dynamic Multispecies Metabolic Modeling (DyMMM [dĭm]) framework is a mathematical modeling tool that integrates multiple constraint-based metabolic models into a single dynamic community metabolic model. The DyMMM framework was formerly known as the DMMM framework. Please use the following citation for bibliographical purposes: Zhuang, K., Izallalen, M., Mouser, P., Richter, H., Risso, C., Mahadevan, R., & Lovley, D. R. (2011). Genome-scale dynamic modeling of the competition between Rhodoferax and Geobacter in anoxic subsurface environments. The ISME journal. Zhuang, K., Ma, E., Lovley, D. R., & Mahadevan, R. (2012). The design of long-term effective uranium bioremediation strategy using a community metabolic model. Biotechnology and Bioengineering. -
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Modern MATLAB-based modelling software for 13C metabolic flux analysis (MFA). Support available in Google group (https://groups.google.com/d/forum/13cmfa-openflux).
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NBT is an open source Matlab toolbox for the computation and integration of neurophysiological biomarkers. NBT allows for easy implementation of new biomarkers, and incorporates an online wiki with extensive help and tutorials.
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WM Hyperintensities Segmentation Toolbox
Open Source White Matter Hyperintensities Segmentation Toolbox
Wisconsin White Matter Hyperintensity Segmentation [W2MHS] and Quantification Toolbox is an open source MatLab toolbox designed for detecting and quantifying White Matter Hyperintensities (WMH) in Alzheimer’s and aging related neurological disorders. WMHs arise as bright regions on T2- weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer’s disease (AD) with regard to its prognosis. Our toolbox provides a self-sufficient set of tools for segmenting these WMHs reliably and further quantifying their burden for down-processing studies. -
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(AB)² Simulation
Simulation for Physics / Bilogics Systems
Supports flow Simulation for Physics and Meso-Compartimental Simulations for Biological Systems. Uses a Container-Flow based System. -
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ANDTool
Analysis Nuclei DAB (AND) Tool
Analysis Nuclei DAB (AND) Tool is a Graphical User Interface (GUI) to analyse microscopy images representing cells with nuclei stained using DAB dyes. The tool requires as input the original RGB images, and the FastRed, FastBlue, DAB channel, easily obtained using the Fiji function: "ImageJ" -> "Image" -> "Colour Deconvolution" -> "FastRed FastBlue DAB" Then, the tool first segment the nuclei using the FastBlue channel and the DAB channel, and then computes statistics by subdividing the sample in three regions according to the FastRed channel: a dark-red ROI, a light-pink ROI and a white ROI. ANDTool is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code and standalone versions are here available for download. USER MANUAL: see the specific PDF available in the Files section. REQUIREMENTS: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions. MAIN CONTACT: Filippo Piccinini (E-mail: filippo.piccinini85@gmail.com) -
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AutoSmooth is a compiled stand-alone graphical interface for signal and derivative extraction from time series with nonstationary noise structure. AutoSmooth is now part of the Signal Extraction Toolbox (SET).
