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.

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

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

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

A new peak detection algorithm for MALDI mass spectrometry data based on a modified Asymmetric Pseudo-Voigt model

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

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.

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

OpenSegSPIM

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.

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

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.

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

This is a c-library that provides tools for advanced analysis of electrophysiological data. It features denoising, unsupervised classification, time-frequency analysis, phase-space analysis, neural networks, time-warping and more.

RAFTS3 can perform high-speed protein search comparisons locally using a desktop computer or laptop. RAFTS3 performed searches many times faster than those with BLASTp against large protein databases such as NR and Pfam, with a small loss of sensitivity depending on the similarity degree of the sequences. RAFTS3 is a new alternative for fast comparison of protein sequences, genome annotation and biological data mining. Preprint: http://dx.doi.org/10.1101/055269 Precomputed databases evaluated on paper are available for download at http://www.bioinfo.ufpr.br/software/rafts3

detectIR - a MATLAB-based tool for detecting perfect and imperfect inverted repeats in genomes. [1] Who are we? Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectIR? Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect and Imperfect Inverted Repeats Using Complex Numbers and Vector Calculation. PLoS ONE 9(11): e113349. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113349 [3] detectIR user manual Please visit the Wiki page of this website. [4] detectIR Q&A For Q&A, please visit the Blog page of this website. [5] detectIR bug report You can report a bug as a Ticket request, or start a topic session in the Discussion webpage of this website. [6] Update history To see the update history, go to https://sourceforge.net/p/detectir/wiki/Update%20History/

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

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.

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).

Software developed under MATLAB R14 environment. It's aim is to make the modeling of bacterial inactivation system and adjust a simulator to obtain new data of the experiment or validate the one that has been obtained at the laboratory.

This project helps to digitize field data for a certain Bird Census method. Namely, bird census based on personal inspection or small (~10 km^2) regions with recording birds' position and behaviour on paper. This project makes it easy to annotate such field data and to make this data available for statistical analysis.

A Matlab Toolbox for uncertainty analysis of biochemical networks via semidefinite programming.