BioSig is a software library for processing of biomedical signals (EEG, ECG, etc.) with Matlab, Octave, C/C++ and Python. A standalone signal viewer supporting more than 30 different data formats is also provided.
An open source software-defined GNSS receiver
An open source software-defined Global Navigation Satellite Systems (GNSS) receiver written in C++ and based on the GNU Radio framework.
Ctrax is a machine vision program for estimating the positions and orientations of many walking fruit flies, maintaining their individual identities over long periods of time with minimal supervision, and on average for 1.5 fly-hours automatically.
The Auditory Modeling Toolbox is a community effort to build a simple and well tested toolbox for doing auditory modelling in Matlab, Octave, Python and C. Over 30 models and data sets from the area of hearing science are provided.
a Small (Matlab/Octave) Toolbox for Kriging
The STK is a (not so) Small Toolbox for Kriging. Its primary focus in on the interpolation / regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.).
Quaternion and octonion toolbox for Matlab
Quaternion toolbox for Matlab is a toolbox that extends Matlab to handle matrices of quaternions with real and complex components. Many Matlab operators and functions are overloaded to work for real quaternion and complexified quaternion matrices. Version 2 of the toolbox adds support for octonions.
Toolboxes for parameter continuation and bifurcation analysis.
Development platform and toolboxes for constrained parameter continuation, e.g., bifurcation analysis of dynamical systems. This material is based upon work partially supported by the National Science Foundation under Grant No. 1016467 and the Danish research council (FTP) under the project number 0602-00753B. Any opinions, findings, and conclusions or recommendations expressed on this site are those of the authors and do not necessarily reflect the views of the National Science Foundation or other funding sources. In the most recent release, documentation and tutorials are available for the following toolboxes: * ep : continuation and bifurcations of equilibrium points * coll : continuation of constrained collections of trajectory segments, including multi-segment boundary-value problems * po : continuation and bifurcations of periodic orbits in smooth and hybrid systems * recipes : collection of examples from the book Recipes for Continuation
A MATLAB program for 2D particle tracking or 3D DHM based tracking.
We present a versatile and fast MATLAB program (UmUTracker) that automatically detects and tracks particles by analyzing long video sequences acquired by either light microscopy or digital holography microscopy (DHM). Our program finds the 2D particle center position using an isosceles triangle transform and the axial position by a fast implementation of Rayleigh-Sommerfeld numerical reconstruction algorithm using a one dimensional radial intensity profile. *Updates v1.1: 2017/11/21- Bug fix & Blob detection functions. Please visit our homepage for more information: http://www.physics.umu.se/english/research/biological-physics/the-biophysics-and-biophotonics-group/ *Please cite our work using the following information: Zhang, H., T. Stangner, K. Wiklund, A. Rodriguez, and M. Andersson. 2017. UmUTracker: A versatile MATLAB program for automated particle tracking of 2D light microscopy or 3D digital holography data. Comput. Phys. Commun. 219: 390–399.
A tool able to simulate gene-environment and gene-gene interactions.
Gene-Environment iNteraction Simulator 2 (GENS2) simulates interactions among two genetic and one environmental factor and also allows for epistatic interactions. GENS2 is based on data with realistic patterns of linkage disequilibrium, and imposes no limitations either on the number of individuals to be simulated or on number of non-predisposing genetic/environmental factors to be considered. The GENS2 tool is able to simulate gene-environment and gene-gene interactions. To make the Simulator more intuitive, the input parameters are expressed as standard epidemiological quantities. GENS2 is written in Python language and takes advantage of operators and modules provided by the simuPOP simulation environment. It can be used through a graphical or a command-line interface.
The purpose of the Freely Moving Animal (FMA) Toolbox is to help analyze electrophysiological and behavioral data recorded from freely moving animals.
A MATLAB Automatic Differentiation Tool
ADiGator is a source transformation via operator overloading tool for the automatic differentiation of mathematical functions written in MATLAB. Given a user written file, together with information on the inputs of said file, ADiGator uses forward mode automatic differentiation to generate a new file which contains the calculations required to compute the numeric derivatives of the original user function. Furthermore, these calculations are written entirely in the native MATLAB language, and thus the process may be repeated to obtain nth order derivative files. The package is particularly appealing for applications where the same derivative must be found at multiple different points, i.e. non-linear root finding/optimization, stiff ode integration, etc.
Discovering clusters with varying densities
This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities. One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying densities that would otherwise impossible had the same algorithm been applied to the unscaled dataset. Reference: Zhu, Y., Ting, K. M., & Carman, M. J. (2016). Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognition. http://www.sciencedirect.com/science/article/pii/S0031320316301571
Multiple Object Tracking Matlab/Python software
TracTrac is a Particle Tracking Velocimetry (PTV) software which is fast (more than 10000 points tracked per second) and accurate (up to 0.01 pixel resolution), forming thus a good concurrent to the state-of-the art PIV algorithms. It allows to track anything that moves: birds, ants, grains, water flows... It runs on Python (v2.7 with OpenCV2) or Matlab (>2012a with Image Processing toolbox). Give it a try !
A data dependent dissimilarity measure based on mass estimation.
This software calculates the mass-based dissimilarity matrix for data mining algorithms relying on a distance measure. References: Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016 http://dx.doi.org/10.1145/2939672.2939779 The source code, presentation slide and poster are attached under "Files". The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo . Since this software is licensed under the Gnu General Public license GPLv3, any derivative work must be licensed under the GPL as well. This software is free only for non-commercial use. For commercial projects, it is possible to obtain a commercial license through the Commercial Services of Federation University Australia. Please email the first author of the original paper firstname.lastname@example.org for any enquiries about this software.
BIOTACT Whisker Tracking Tool
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).
A toolbox for computing with Clifford algebras in MATLAB
This is a toolbox (software library) for computing with matrices of Clifford algebra multivectors in MATLAB. It is designed to handle numerical computations with matrices as far as these are defined for matrices of multivectors. The toolbox is designed to work in the same way as MATLAB's own functions by overloading standard MATLAB functions with Clifford multivector versions. The toolbox can compute with any Clifford algebra with signature (p,q,r) but only with one algebra at a time. It is possible to iterate over algebras (switching between algebras is quite quick) and existing variables are not destroyed when switching to a new algebra (although such variables cannot be used under the new algebra - any attempt to do so is detected and will raise an error). There is a (low traffic) mailing list for release announcements etc. See the Mailing Lists menu to subscribe.
An Open-Source Library for Low-Power Approximate Computing Modules
The “lpACLib” library contains the VHDL description of accurate and approximate versions of several arithmetic modules (like adders and multiplier of different bit-widths) and accelerators. Moreover, it also provides the corresponding software behavioral models/implementations developed in C and MATLAB to enable quality characterization. Besides our novel designs, it also contains implementations for several state-of-the-art arithmetic modules and their approximate versions. This open-source library facilitates research and development in approximate computing at higher abstraction levels, and to facilitate reproducible research and comparisons. In case of usage, please refer to our publication: Muhammad Shafique, Rehan Hafiz, Semeen Rehman, Walaa El-Harouni, Jörg Henkel, "Cross-Layer Approximate Computing: From Logic to Architectures", Design Automation Conference (DAC), 2016. Contributors: Authors, Vanshika Baoni, M. Abdullah Hanif http://ces.itec.kit.edu/lpACLib.php
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
Quantum Information Toolkit is a comprehensive, easy-to-use interactive numerical toolkit for quantum information and computing, available for both MATLAB and Python.
Building blocks for the renewable energy industry.
RenewNet Foundry is a repository for an integrated set of simulation components for system simulation of wind, wave and tidal energy systems.
A software tool for tracking fluorescent cells in 3D
F-Tracker3D is acronym of "fluorescent cell tracker in three-dimensions". It is a software tool designed to track fluorescent cells using time-lapse z-stacks of images acquired with a confocal or light-sheet microscope. First, each single cell is tracked in 2D by using the maximum intensity projections of the z-stacks and CellTracker, the free open source software available at: www.celltracker.website. Then, the 3D track of each cell is obtained analysing the z-stacks and looking for the z-plane with the maximum intensity value for the different x-y positions previously determined. F-Tracker3D is written in MATLAB (©, The MathWorks, Inc., Massachusetts, USA) and the source code is freely provided. Requirements: MATLAB 2015a and Image Processing Toolbox 9.2 or later versions.
Forward and inverse modelling in optical tomography
Toast++ is a C++ software package for modelling light transport in scattering media using the finite element method. It allows 3D reconstruction of absorption and scattering distributions inside an object from boundary measurements of light transmission, using steady state, time domain or frequency domain information. Matlab and Python bindings exist for ease of use and fast prototyping.
Recognizing biological data from a notebook.
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.
Bacterial Typing from either assembled or raw short reads file
Probability Binning - signature Quadratic Form, PB-sQF, types unknown sequence to one of the 628 bacterial library genomes which gives the smallest test statistics thus most similar library strain. The input file is the k-mer counts of the unknown assembled genome sequence or raw short reads file in decimal format generated by KAnalyze developed by P. Audano et al. (https://sourceforge.net/projects/kanalyze/). The download included the library index, the library name and sample unknowns.
UNLocBox (Matlab convex optimization toolbox)
The UNLocboX is a matlab convex optimization toolbox part of the UnlocX project. It is composed of the most used algorithms such as forward backward, Douglas-Rachford, admm or ppxa. Moreover a collection of proximal operators is available in order to implement problems very efficiently.