A Matlab/Octave toolbox to design, simulate, and analyze optical communication systems. Open source, fast (using MEX), user-friendly and customizable, it includes cutting-edge solutions for: modulation formats, performance estimation, fiber propagation.
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
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.
Automated bacterial and archaeal genome annotation system
SILA is a system for automated annotation of bacterial and archaeal genomes. It provides accurate gene prediction using a combination of tools (Prodigal and HGF) and a web site for task management and visualization of annotation. This project is in alpha stage. Please use the online service available at: http://www.bioinfo.ufpr.br/SILA/login.jsp Documentation (portuguese only): http://hdl.handle.net/1884/34801
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.
This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package
Gaussian Process Model Fitting
Gaussian Process model for fitting deterministic simulator output. Establish efficient and reliable likelihood optimization through hybridized DIRECT-BFGS and multi-start BFGS algorithms. Programming Language: Matlab.
SPHERES Facility software for scientists
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.
A Matlab software routine to perform Principal Component Analysis using Covariance, Correlation or Comedian as the criterion. Though, initially developed for experiments related to fretting wear but can be effectively used to interpret experimental data from any field. The attached files contain source code as well as a sample MATLAB (.mat) data file of 13 variables. It could be replaced to the data file of your choice. The code is open source but you are requested to give credits if used. Additionally, it also has some useful functions for exporting and generating publication quality figures for different kind of figures in MATLAB
Qu is a MATLAB toolbox for the visualization and analysis of N-dimensional datasets targeted to the field of biomedical imaging. It supports several microscopy image formats and offers a plugin mechanism and a consistent API for easy extension.
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.
Set of functions to process acoustic Doppler current profiler data
adcptools is a set of Matlab functions to post-process acoustic Doppler current profiler data. It consists of several low-level function to read out data files and several functions to process data from repeat transect measurements, moored turbulence measurements and horizontal ADCP deployments.