Open Source MATLAB Bio-Informatics Software

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.

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.

Tools for mass spectrometry, especially for protein mass spectrometry and proteomics: Quantification tools, converters for Applied Biosystems (Q Star and Q Trap), calculation of in-silico fragmentation spectra, converter for Mascot result files

Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc

OpenSegSPIM

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.

SysGenSIM is a bioinformatics toolbox to create artificial gene expression datasets by simulating Systems Genetics experiments.

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.

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.

Esra is a 100% pure java library for the interactive analysis of molecular mechanics data. Mangles your data in your favorite scripting language.

GFtbox is a Matlab package for simulating biological growth of leaves, petals, and similar organs.

Modern MATLAB-based modelling software for 13C metabolic flux analysis (MFA). Support available in Google group (https://groups.google.com/d/forum/13cmfa-openflux).

Hydrogen-deuterium exchange coupled to mass spectrometry permits analysis of structural dynamics, stability, and molecular interactions of proteins. Resolving isotopic fine structure during mass spectrometry has been recently demonstrated to allow direct detection and quantification of deuterium incorporation distinct from peaks corresponding to non-deuterium incorporated natural abundance heavy isotopomers. Here, we present a graphical tool that allows for a rapid and automated estimation of deuterium incorporation from a spectrum with isotopic fine structure resolved. Given a peptide sequence or elemental formula, the distribution of deuterium-associated mass-to-charge ratios is calculated based on a particular charge state corresponding to the molecular species resolved in an input mass spectrum. Peaks in the input mass spectrum fitting within bins corresponding to these values are used to determine the distribution of deuterium incorporated.

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.

NSB entropy and mutual information estimator; applications to the analysis of neural code.

This is a Matlab software package for single molecule FRET data analysis.

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

An alignment-free standalone tool with interactive graphical user interface for DNA sequence comparison and analysis

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.

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.

gfit creates an interface between computational models and experimental data and provides tools for their analysis

Supports flow Simulation for Physics and Meso-Compartimental Simulations for Biological Systems. Uses a Container-Flow based System.

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)

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).

The BWTT is an artefact of the EU Framework 7 Project BIOTACT 215910. It is an extensible software framework that runs under Matlab (Mathworks, TM) providing for the computation of whisker tracking algorithms for small mammal observation. Other tracking algorithms (e.g. snout tracking) can also be included. The software is released with a number of algorithms included, allowing rapid whisker tracking with no other software required (other than Matlab).