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epiPATH is a platform to store and analyze evolutionary, population and epidemiological data from infectious diseases. It is designed to aid users in daily work with data generated in sequencing projects as well as clinical and epidemiological data.
Celsius is a data warehouse that provides web services for upload, archival, download, annotation, quantification, and normalization of all Affymetrix microarray platforms.
Open Screening Environment is a open source system for management of High Throughput Screening related experiments. The platform consists of new research tools that will enhance significantly management and analysis of HTS data. More information can be f
Basic implementation of K-nearest neighbour Algorithm and the application of KNN to classify protein sequences as transmembrane beta barrel or non-transmembrane beta barrel on the basis of whole sequence amino acid composition given as input.
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The Disease Simulation Framework (DiSiF) represents a spatial simulation environment for infectious viral disease spread. The framework currently embodies a very simple framework for simulation in 2D space with focus on SARS and the Common Flu.
The goal of the GeneText project is the development of a software package that will enable users to dynamically generate an information summary page from multiple sources given a search term. Fields of interest are biology, genetics and bioinformatics.
GTdb - Modular genotype database for all markers. The
database has core which captures information common to different
variation measurements and extensions to method and instrument
specific data.
Referent Tracking (RT) is a novel approach to store data in electronic (health) records by referring to real world entities by means of a unique ID. The RT System is a back-end that uses RDF as a representation, but adds to it a referential semantics.
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This is a collection of ImageJ macros (scripts) for performing color deconvolution and analysis of immunohistochemistry (IHC) staining on tissue microarray (TMA) images
GRIP is a clinical decision support system for controlling glucose levels in critically ill patients. GRIP may replace paper-based protocols for intensive insulin therapy and can use arbitrary complex rules to advise nurses on insulin doses.
Large set of functions for biological records (ECG, EEG, phono), datastore, datamining and analysis (HRV, QT, RR, ST). The application is written in Java, so that it is assumed to work on all devices. It runs as a desktop or client-server application. It
Stratos viewer is a web based utility to examine DICOM medical images through a web browser.
This project is not active anymore. If you are interested in a Dicom web viewer, have a look at our new development: MedView [ https://github.com/jap1968/medview ]
SpiNet is a neural simulation tool for large spiking networks with highly heterogeneous synapses. Neurons are modelled as I&F units with dual exponential synaptic conductances. Complex network models can be easily built using the included tool NetBuilder
A program to model HapMap haplotypes in genetic association studies using tag SNP genotypes. Please visit http://www.ucd.ie/genepi/hapmixmap for more details.
Frida is image analysis software. Frida was developed by the Johns Hopkins University Tissue Microarray Core Facility. It is open source and written in 100% Java. Frida makes use of functionality from the NIH's ImageJ application. Note: Frida was integr
The Patient and Sample System for Information Management (PASSIM) is a system for annotation and storage of data, associated with the collection of samples in biomedical studies.
FORce based Cluster Editing (FORCE) is a Java software heuristically solving the graph cluster editing problem on weighted edges using BLAST E-values. It further provides a training mode for heuristic parameter estimation.
Comprehensive Meta Prediction and Annotation Services for Proteins: The new all-in-one prediction tool that can be easily extended to include any SOAP/WSDL-enabled prediction servers. A concise user interface lets you use the results instantly.
Life Science Identifier (LSID) resolution protocol, to locate biologically significant data over a network, within middle-ware providing a client A.P.I. for Life Science applications, and server software, for Industry data providers.