Search Results for "text based"

TIES (Text Information Extraction System) is a clinical text search engine that uses Natural Language Processing techniques to extract medical concepts from free text clinical reports. It provides secure de-identified access to this information and has in built collaboration tools and honest broker functionality. It is licensed for academic use under the BSD license. For commercial use please contact Nexi at http://nexihub.com *** NOTICE: this software and forum are no longer...

Biomedical Text Mining (BioTM) is providing valuable approaches to the automated curation of scientific literature.

GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID. March 2017: We started to upload GNAT output on Medline. See files/results/medline/.

Java class libraries for structural biology development: includes protein format conversion tool, printf-based text formatting, Pred2ary secondary structure prediction, neural net library, Hooke-Jeeves global optimizer, and misc. math & statistics.

Genetic variants alter cellular behavior in a variety of ways, changing biochemical properties of DNA, mRNA, and proteins. Many large-scale sequencing projects are under way to detect human variation in health and disease. Although broad disease associations can be discovered by GWAS studies, the low-level impact of mutations is hardly available in structured form. The results of thousands of small-scale experiments, on the other hand, are present in the literature and discuss observations...

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.

...The main features of BioDare are: - an online repository for experimental data accompanied by extensive metadata - generation of secondary data (normalized, detrended, averaged …) - graphical output of data, secondary data and rhythm analysis - simple text-based search throughout metadata - biology- and conditions-aware search for data - data aggregation and export - group-based privacy settings for collaborative research

This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text.

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.

PowerTalk automatically speaks Microsoft PowerPoint presentations. For presenters who find speaking difficult, audiences containing people with visual impairments and fun educational uses. Uses synthesised computer speech provided with Windows

Moara is a biological text mining tool and consists of a Java library and some auxiliary MySQL databases for gene/protein training and extraction of mentions and its further normalization and disambiguation.

@Note2 is now available in www.anote-project.org @Note is a Biomedical Text Mining workbench that integrates current Biomedical Text Mining (BioTM) methods and provides biologists with intuitive tools capable of supporting their bibliographic searches and further literature curation.

SENTENSA Knowledge Miner is a platform independent tool for searching any text. SENTENSA uses robust methods of indexing and searching text, leveraging on experience from more than 20 years of information retrieval.

The OBO-Annotator is a semantic NLP tool that is designed to give its end-users a great deal of flexibility to combine any number of OBO ontologies from the OBO foundry regardless of their format and use them to annotate text-bases.