|
|
|
|
|
| Pieter Giesbertz; Jonas Hummel; Stan Gaj; Danyel Jennen; Thomas Kelder; Chris Evelo; Joost van Delft; Jos Kleinjans. |
| Current high-throughput technology in genomics creates a large amount of biological data. Bioinformatics approaches are directed towards understanding such data on a systems biology level. Advanced mathematical methods like principal component analysis, clustering, neural networks, support vector machine (SVM) approaches and neural networks can help to find patterns in the data. However, to really understand the data the patterns must be combined with existing knowledge. One of the approaches to do so is to associate these data to functional classifications such as can be found in the Gene Ontology. Other methods focus on using biological pathways coming from both public and private pathway databases like KEGG, WikiPathways, Reactome, and MetaCore. Some of... |
| Tipo: Poster |
Palavras-chave: Genetics & Genomics; Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/4575/version/1 |
| |
|
|
| Martina Kutmon; Martijn P. van Iersel; Thomas Kelder; Chris T. Evelo. |
| In the last decade the amount of Bioinformatics tools has increased enormously. There are tools to store, analyse, visualize, edit or generate biological data and there are still more in development. Still, the demand for increased functionality in a single piece of software must be balanced by the need for modularity to keep the software maintainable. In complex systems, the conflicting demands of features and maintainability are often solved by plug-in systems.

For example Cytoscape, an open source platform for Complex-Network Analysis and Visualization, is using a plug-in system to allow the extension of the application without changing the core. This not only allows the integration of new functionality... |
| Tipo: Poster |
Palavras-chave: Bioinformatics. |
| Ano: 2011 |
URL: http://precedings.nature.com/documents/6113/version/1 |
| |
|
|
| Martijn P. van Iersel; Alexander R. Pico; Thomas Kelder; Jianjiong Gao; Isaac Ho; Kristina Hanspers; Bruce R. Conklin; Chris T. A. Evelo. |
| Many interesting problems in bioinformatics require integration of data from various sources. For example when combining microarray data with a pathway database, or merging co-citation networks with protein-protein interaction networks. Invariably this leads to an identifier mapping problem, where different datasets are annotated with identifiers that are related, but originate from different databases.

Solutions for the identifier mapping problem exist, such as Biomart, Synergizer, Cronos, PICR, HMS and many more. This creates an opportunity for bioinformatics tool developers. Tools can be made to flexibly support multiple mapping services or mapping services could be combined to get broader coverage. This approach... |
| Tipo: Poster |
Palavras-chave: Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/5023/version/1 |
| |
|
|
|
