Search Results for "network analysis"

OpenMRS is a community-developed, open source, enterprise electronic medical record system. Our mission is to improve health care delivery in resource-constrained environments by coordinating a global community to creates and support this software.

OpenVigil provides a webinterface to analyse pharmacovigilance data, i.e., spontanous or systematic collections of treatments (drugs) and observed adverse events ("drug side effects"). FDA Adverse Event Reporting System (AERS) and other pharmacovigilance data (e.g., Canadian or German) are supported. The OpenVigil web-based analysis tools offer several analysis modes like extraction, filtering, mining of data and analyses via measurements of disproportionality like proportional reporting...

MutaNET comes with a next generation sequencing (NGS) pipeline that calls mutations based on paired-end NGS reads, an automated mutation analysis tool and various file converters and mergers. The mutation analysis feature considers the coding region, protein domains, regulation and transcription factor binding site information, and can be used to analyse the potential impact of mutations on antibiotic resistance.

LymPHOS2 is a web-based Application at www.LymPHOS.org containing peptidic and protein sequences and spectrometric information on the PhosphoProteome of human T-Lymphocytes. - Nguyen, TD., Vidal-Cortes, O., Gallardo, Ó., Abian, J., Carrascal, M., LymPHOS 2.0: an update of a phosphosite database of primary human T cells. Database 2015, 2015. DOI: 10.1093/database/bav115 - Carrascal, M., Ovelleiro, D., Casas, V., Gay, M., Abian, J., Phosphorylation analysis of primary human T lymphocytes...

GESPA (GEnomic Single nucleotide Polymorphism Analyzer) is a bioinformatics tool for classifying Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs). GESPA predicts if a nsSNP is pathogenic using reports from literature and various algorithms to assess conservation in orthologous and paralogous protein alignments. Using reports from literature, GESPA is also able to predict the phenotype of a nsSNP with high accuracy. The software can be used clinically to determine if observed nsSNPs are...

XNBC is a full featured application for computer naive neuroscientists. It simulates biological neural networks using graphic tools to edit neurons and networks, to run the simulation and to analyze results. Written in C, it runs on Unix and Windows. Web site : http://ticemed-sa.upmc.fr/xnbc/ All recent versions are on this site.

TMAJ is software for Tissue MicroArrays (TMA's). Patients, specimens, blocks, slides, cores, images, and scores can all be stored and viewed. Features include advanced security, custom dynamic fields, and an image analysis program.

This is a web based disease monitoring for monitoring diseases like chikungunya, malaria - reported by hospitals in a district, county, state or country. There is a reporting & analysis module and a GIS module which displays the data using google maps.

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.

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

Diktyologia is software for investigating complex systems with advanced methods of network theory. The package allows for analysing statistical properties of directed intercausal networks that are represented in form of cy.prus XML files.

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

neurALC - a Qt3 based program for the analysis of multi-electrode recordings from biological neurons

A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.