Search Results for "ontology"

This is a Python-based efficient implementation of several semantic similarity measures. The target is to enable fast and easy calculation of similarity between proteins and genes using the Gene Ontology (GO).

Malware Analysis Network in Taiwan <Man in Taiwan, MiT> Welcome to contact us (TonTon@TWMAN.ORG) if you are interested in collaborating with us. This project is open source and distributed under the GNU General Public License version 3. Please feel free to add to or modify this source and propose changes or new converters. Developer & Copyrighted by : TonTon Hsien-De Huang Prompter: Jazz Yao-Tsung Wang, Figaro Chen-Ho Yang | Logo Desinger:Temaki Guo Community on...

...ScreenSifter, to perform the sequential, user friendly, guided, and advanced statistical analyses of RNAi screening results. User can upload their raw signal intensities and will avail complete quality control of screen, hit selection, plotting of hit genes with gene ontology, comparing of replicates or comparing of channels. In addition, ScreenSifter has visualization tools to plot specific genes or gene groups in the screen data. ScreenSifter also provides Gene Set Enrichment Analysis (GSEA), protein-protein interaction directly on the plot. Publication: ScreenSifter: analysis and visualization of RNAi screening data Pankaj Kumar, Germaine Goh, Sarawut Wongphayak, Dimitri Moreau and Frédéric Bard BMC Bioinformatics. 2013 Oct 3;14(1):290. ...

The Rudify tools are a collection of tools for ontology tagging.

A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.

go2Sim measures semantic similarity between genes annotated with Gene Ontology terms. Resnik and Wang methods supported. A new improvement of the methods is currently in development, it will be available as soon as the results have been published.

Here we introduce a Genomic Epidemiology Ontology (GenEpiO) that covers vocabulary necessary to identify, document and research food-borne pathogens and associated outbreaks. We envision various subdomains including genomic laboratory testing, specimen and isolate metadata, and epidemiological case investigations. The project files are currently hosted at https://github.com/GenEpiO/genepio/ .

The RNA Ontology Consortium proposed a translation the RNA backbone angles to 46 clusters ('suites') and hence unique names. This project calculates the suites from RNA 3D structures, and to search on a Java-based index structure of known folds.