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DicomReader is a simple Java Dicom files decipher. It handles headers and images within as well; data (headers and pixel-value images) will be saved into ascii clear text files. A pgm version of the image files is also provided.
BANNER is a named entity recognition system intended primarily for biomedical text. It uses conditional random fields as the primary recognition engine and includes a wide survey of the best techniques described in recent literature.
VANTED - Visualization and Analysis of NeTworks containing Experimental Data
At SourceForge the VANTED development history is preserved, only limited amount of development will proceed here. Please head on to the most recent developments, which can be observed at www.vanted.org.
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.
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The BioNLP UIMA Component Repository provides UIMA wrappers for novel and well-known 3rd-party NLP tools used in biomedical text prosessing, such as tokenizers, parsers, named entity taggers, and tools for evaluation.
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.
BioDare is Biological Data Repository focused on timeseries data
BioDare (Biological Data Repository) was developed under the multi-site ROBuST project (http://hallidaylab.bio.ed.ac.uk/ROBuST.html) to support data exchange inside the project.
It is a web application which allows data-sharing (including public dissemination), data-processing and analysis, with the main focus on time-series data produced in circadian experiments.
The main features of BioDare are:
- an online repository for experimental data accompanied by extensive...
Integrating PSMs into Genome browser visualisations
iPiG targets the integration of peptide spectrum matches (PSMs) from mass spectrometry (MS)
peptide identifications into genomic visualisations provided by genome browser such as the UCSC genome browser (http://genome.ucsc.edu/).
iPiG takes PSMs from the MS standard format mzIdentML (*.mzid) or in text format and provides results in genome track formats (BED and GFF3 files), which can be easily imported into genome browsers.
For more details about iPiG and it's functionallity, please...
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.
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LAMINA (Leaf shApe deterMINAtion) is a tool to provide classical measures of leaf shape (blade dimensions) and size (area) as well as measures that indicate asymmetry in leaf shape and measures of herbivory damage (missing leaf area).
MutationFinder is a biomedical natural language processing (NLP) system for extracting mentions of point mutations from free text. MutationFinder achieves high performance (99% precision, 81% recall on blind test data) as an information extraction system
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.
Winnow is a graphical application for importing and organising articles from PubMed. It gives access to abstracts, full text and allows references to be saved. It can also predict what a user will find interesting through adaptive filtering.
Anthill is a framework to support the design, implementation and evaluation of P2P applications based on ideas such as multi-agent and evolutionary programming borrowed from the complex adaptive systems area.
GraphSpider is a pattern matcher which searches parsed text in phrase-structure tree or dependency graph format for syntactic structures matching a set of patterns in MPL, a regexp-like pattern language. Applications: information extraction, text mining.