Bioclipse

Bioclipse provides an extensible bio- and cheminformatics workbench for integrating chemical structures, biological sequences and alignments, visualization, and scripting to support systems biology and drug discovery analyses.

Key Features:

• Domain-specific language: A built-in domain-specific scripting language enables reproducible analyses and automation of bio- and cheminformatics tasks.
• Visualization: Advanced visualization components support rendering of input data and analytical results for chemical structures, sequences, and alignments.
• Chemical structure editor: A rewritten chemical structure editor permits detailed manipulation and analysis of molecular models.
• Table component: A table component supports handling multiple molecules and processing gigabyte-sized molecular datasets.
• Sequence and alignment editor: A graphical editor supports visualization and editing of biological sequences and alignments.
• Extensibility: An extensible architecture supports adding algorithms, visualizations, and scripting commands via plugins.
• Platform and compute model: Built on the Eclipse Rich Client Platform (RCP) to run on the desktop while leveraging web-based services for intensive calculations and data retrieval.
• Implementation: Implemented in Java for cross-platform operation.

Scientific Applications:

• Systems biology: Integration of molecular structures and sequence data to support systems-level analyses.
• Drug discovery: Chemical structure editing, visualization, and large-scale cheminformatics workflows for drug discovery.
• Cheminformatics: Processing and analysis of large molecular datasets, including gigabyte-sized files.
• Sequence analysis: Visualization and editing of biological sequences and alignments for bioinformatics studies.
• Data integration: Combining local desktop computation with web-based services to integrate bio- and cheminformatics resources.

Methodology:

Bioclipse is implemented in Java and built on the Eclipse Rich Client Platform (RCP); it includes a built-in domain-specific scripting language, a table component for gigabyte-sized molecular datasets, an extensible plugin architecture, and the ability to leverage web-based services for intensive calculations and data retrieval.