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The Phenoscape project attempts to formalize the description of evolutionary characters to make them interoperable and computable with the body of phenotype annotation being generated by model organism databases, and other biomedical research.
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included.
Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional...
XNBC is a graphic application to simulate biologic neural networks.
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.
Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
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Phenex is an application for annotating taxa and phenotypes in character matrix files with ontology terms. Phenex saves ontology annotations alongside traditional character matrix data using the NeXML format standard for evolutionary data.
Current Phenex development is taking place at GitHub:
https://github.com/phenoscape/Phenex
Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.
Trauma registry suite; Data collection application and server scripts to build trauma data warehouse and perform web-based analysis reporting. Cross-platform compatible for Windows, Apple, Unix, or Linux.
The Genomic Diversity and Phenotype Data Model (GDPDM) captures molecular and phenotypic diversity data. MySQL databases are used to implement the schema. This project develops software tools (written in Java, Perl, etc.) associated with this model.
MASQOT-GUI is an open-source, platform-independent application for two-channel microarray spot quality control. Included is a set of tools for gridding, segmentation, quantification, multivariate spot quality assessment and data visualization.
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
Sight provides a friendly interface to create and connect agents for bioinformatics. The workflow supports multiple responses to a single request, structure transforms, filters and request history access.Can talk with ordinary http servers (get and post)
Annotated Gel Markup Language is a simple markup language that is being proposed to markup data obtained by 2D gel electrophorosis.The goal of AGML is to enable proteomics research move into the browsing mode of searching through existing databases.
** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html