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Team:Freiburg software/Project
From 2009.igem.org
Contents |
Introduction
Motivation
Google Wave
Google Wave is "a personal communication and collaboration tool" announced by Google at the Google I/O conference on May 27, 2009. It is a web-based service, computing platform, and communications protocol designed to merge e-mail, instant messaging, wikis, and social networking. It has a strong collaborative and real-time focus and provides several ways to extend its functionality.
Wave basically consists of a communication-protocol created by Google.
At the moment Wave consist of a Communication-Protocol, a Server and a Webclient. all created by Google. While the protocol is open-soured already, Google has announced to publish the code of both the server and the client in the future in order to create a completely free system.
The BioJava project
BioJava is an open-source project dedicated to providing a Java framework for processing biological data. It provides analytical and statistical routines, parsers for common file formats and allows the manipulation of sequences and 3D structures. The goal of the biojava project is to facilitate rapid application development for bioinformatics.
The BioJava library is useful for automating many daily and mundane bioinformatics tasks. As the library matures, the BioJava libraries will provide a foundation upon which both free software and commercial packages can be developed.
It includes 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 powerful analysis and statistical routines including a dynamic programming toolkit.
Using the scalable, cross-platform, network-aware power of Java technology, researchers at Great Britain's famed Sanger Institute for genetic study have spawned BioJava--an open-source project dedicated to providing genomic researchers with a Java technology-based developer's toolkit. BioJava offers bioinformatics developers over 1200 classes and interfaces for manipulating genomic sequences, file parsing, CORBA interoperability, and more. The facility is already being used at major research and pharmaceutical centers, and in over 85 countries around the world.
Pocock arrived at Sanger with C++ and Perl coding experience already under his belt, but soon found the languages lacking for his tasks. "With Perl, I just couldn't get the performance I needed," says Pocock. "When you're working with Genomic data sets, you're often dealing with Gigabytes of data. And Perl didn't handle that very well. C++ could handle that amount of data, but the language really didn't help you to write portable, robust code."
BioJava has grown tremendously since its beginnings. The most recent site statistics show 1,264 public classes and interfaces, with over 200,000 lines of code, and over 14 people regularly contributing to the code. "The total number of classes sounds a bit scary when you count it," explains Pocock, "but there are really only about 15 interfaces. And pretty much everything you ever write is to those 15 interfaces. So there's a frightening amount of complexity that you never see, and are happy not to see!"
Both Pocock and Down keep an active hand in maintaining and enhancing the BioJava code, but it is a truly collaborative open source effort. "Someone like myself, or Thomas, or Mark Schreiber, who is now a major contributor to the site, would approve anything that touched the core object model. And we would also discuss that on the mailing list or the IRC. But the project is actually quite modular. There are two people who are involved with the sequence-searching algorithm code. And they would be in charge of making sure that anything committed to that was safe and sane. In the current era, there is no one person who knows the entire library, or who has responsibility for it."
The most recent monthly site statistics (for April of 2004) show a hit rate of over 170,000, with greater than 400 downloads of the BioJava package, comprising a total of over 130,000 files. At peak times, the site receives over 10,000 hits an hour.
Projects
The following projects make use of BioJava. If you know of other projects please add them to the list.
- DengueInfo: a Dengue genome information portal that uses BioJava in the middleware and talks to a biosql database.
- Dazzle: A BioJava based DAS server.
- Biosense: A commercial informatics offering from Inforsense that uses BioJava under the hood.
- Bioclipse: A free, open source, workbench for chemo- and bioinformatics with powerful editing and visualization capabilities for molecules, sequences, proteins, spectra etc.
- PROMPT: A free, open source framework and application for the comparison and mapping of protein sets. Uses BioJava for handling most input data formats.
- Cytoscape: An open source bioinformatics software platform for visualizing molecular interaction networks.
- BioWeka: An open source biological data mining application.
- Geneious: A molecular biology toolkit.
- MassSieve: An open source application to analyze mass spec proteomics data.
- Strap: A tool for multiple sequence alignment and sequence based structure alignment.
- Jstacs: A Java framework for statistical analysis and classification of biological sequences
- jLSTM "Long Short-Term Memory" for protein classification
- LaJolla Structural alignment of RNA and proteins using an index structure for fast alignment of thousands of structures. Including an easy to use command line interface. Open source at Sourceforge.
Publications
BioJava has been used in the following publications. If you know of other publications please add them.
<biblio>
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</biblio>
Bauer, R.; Rother, K.; Moor, P.; Reinert, K.; Steinke, T.; Bujnicki, J. M.; Preissner, R. Fast Structural Alignment of Biomolecules Using a Hash Table, N-Grams and String Descriptors. Algorithms 2009, 2, 692-709. open access full text
Concept
Our concept is to create a collaborative software suite called SynBioWave for synthetic biology purpose. SynBioWave is a Google Wave extension using BioJava to add synthetic biology functionality, giving synthetic biology access to the collaborative and interactive web 2.0.
