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BioJava is an open-source project dedicated to providing a Java framework for processing biological data. It include objects for manipulating biological sequences, file parsers, DAS client and server support, access to BioSQL and Ensembl databases, tools for making sequence analysis GUIs and
Bioconductor is an open source and open development software project for the analysis and comprehension of genomic data. The project was started in the Fall of 2001. The Bioconductor core team is based primarily at the Fred Hutchinson Cancer Research Center. Other members come from various US and international institutions.
Biopython is a set of freely available tools for biological computation written in Python by an international team of developers. It is a distributed collaborative effort to develop Python libraries and applications which address the needs of current and future work in bioinformatics. The source
The Bioclipse project is aimed at creating a Java-based, open source, visual platform for chemo- and bioinformatics based on the Eclipse Rich Client Platform (RCP). Bioclipse, as any RCP application, is based on a plugin architecture that inherits basic functionality and visual interfaces from
The GenoViz project provides tools for genomics data visualization. It consists of the following: 1) the GenoViz SDK, a library of re-usable components, 2) the Genometry data model to represent relationships between biological sequences, and 3) the Integrated Genome Browser (IGB, "igbee")
XML-based data exchange standard for phylogenetics. In honor of the commonly-used "nexus" flat file format, the working title for this standard is nexml.
Utility for creating / edit biological pathways and and visualizing high-throughput data (e.g. microarray data) in the context of pathways.
The main goal of the Debian Science project is to provide a system with all the most important free scientific software in each scientific field.
The Distributed Annotation System (DAS) defines a communication protocol used to exchange biological sequence annotations. DAS is a client-server system in which a single client integrates data from multiple servers. Data distribution, performed by DAS servers, is separated from visualization
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