Open Source MATLAB Bio-Informatics Software
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MATLAB Bio-Informatics Software
View 68 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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An alignment-free standalone tool with interactive graphical user interface for DNA sequence comparison and analysis
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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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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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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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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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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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EDA is Graphical User Interface and Matlab compiled application for filtration of LC-MS or GC-MS, based on probalistic methods. Including peaks and compounds segmentation with various visualizations. This software can be used for metabolomics, proteomics
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EigenMS is a normalization method implemented in R (and older version in Matlab) available as a set of two functions that should be used in a sequence. Please download EigenMS.zip file (latest version). Latest version uploaded in October 2017 has a bugfix for single treatment group normalization. Rescaling has been omitted from 2015. EigenMS utilizes SVD to detect bias trends in the data and eliminates them. EigenMS eliminates effects from known and unknown factors and can be utilized for any -omic platform. We have shown its utility in LC-MS/MS and metabolomics in the following two papers: 1) PMID: 19602524. "Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition". Karpievitch YV, Taverner T, Adkins JN, Callister SJ, Anderson GA, Smith RD, Dabney AR. Bioinformatics 2009 2) "Metabolomics data normalization with EigenMS" Karpievitch YV, Nikolic SB, Wilson R, Sharman JE, Edwards LM. PLoS One 2014
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PALM
Probabilistic natural mapping for gene based association study.
PALM is a software that conducts gene-based association analysis. PALM exploits Hidden Markov Models (HMM) to capture the inner genomic structures. Then, unique gene features (termed "palm prints") are extracted for each gene set by calculating the natural gradient. Then palm-prints are tested with chi-square significance test. -
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PsPM
A matlab suite for Psycho-Physiological Modelling
PsPM is a powerful tool for psychophysiological modelling. It includes linear convolution models and non-linear models for SCR, and allows for modelling of other signals, too. A flexible import interface and many utilities make this software a standalone tool. IMPORTANT: As of 04.11.2019, the official code repository for PsPM has been moved to https://github.com/bachlab/PsPM . In order to check the latest releases, discussion and bug reports, please refer to our new repository. Although this website will maintained to provide further releases, there will be no active development on the SVN repository. Thank you for your understanding and for using PsPM. -
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SoundRuler is a tool for acoustic analysis, graphing and teaching. It interactively recognizes and measures 35 temporal and spectral properties of each sound in a file. It also features several measurement, graphing and didactic modules.
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nail_systems_biology
NAIL is a toolset for network analysis in the life sciences
The NAIL (Network Analysis and Inference Library) project is a set of tools for solving problems in the life sciences using network (graph) approaches. NAIL includes methods for creating networks, analysing and comparing networks, and for visualising or presenting the results. These methods are designed as self-contained platform-independent components which can be called either from another program, or from a command line. Modelling biological systems as networks (graphs) is becoming a common approach in the life sciences. However, different algorithms typically use different input and output data types, are implemented using different technologies, and are demonstrated by application to different biological problems. Because of this, the primary goal of the NAIL project is to provide a straightforward way to use network approaches in the life sciences, and to apply a variety of techniques quickly and easily on the same data. -
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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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PlaTypUS
Plasmodium Typing Utility Software
The goal of PlaTypUS is to establish a unified Plasmodium whole genome analysis tool, that aligns short read sequences in an agreed upon manner, with many quality control steps, and calls both SNVs and CNVs in a community agreed standard way. We also seek to provide this analysis in a stand-alone graphic user interface so that labs around the world can analyze their own whole genome sequencing data, rather than relying on outside institutes. -
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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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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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We provided a normal method to fit 2/3D open or closed curves. With fitting results, we can make morphometric analyses of some samples. If you have any questions, please contact Shengmin Zhou(email: 2495077522@qq.com or 220180304@seu.edu.cn). If you want to download this project and use it, please cite the paper: Zhou, S., Li, B. & Nie, H. Parametric fitting and morphometric analysis of 3D open curves based on discrete cosine transform. Zoomorphology (2021). https://doi.org/10.1007/s00435-021-00520-w
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GFtbox is a Matlab package for simulating biological growth of leaves, petals, and similar organs.
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Marine Mammal Acoustic DCL
Advanced acoustic detection, classification and localization
Advanced detection, classification and localization (DCL) of marine mammals and passive acoustic monitoring (PAM). Code is being developed as Matlab routines, interfaces for Ishmael (http://www.bioacoustics.us/ishmael.html), and in other formats. -
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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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OpenSegSPIM
OpenSegSPIM
OpenSegSPIM -
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SPKtool is a toolbox developed on MATLAB which enables a user to perform spike (action potential of neurons) detection, spike sorting (manually or automatically) and spike train analysis.