|
|
|
|
|
| Hilmar Lapp. |
| I present BioSQL, a generic and highly extensible relational model for storing biological sequences, sequence clusters, genes, sequence features, sequence and feature annotation, and ontology terms. BioSQL also represents the interoperable persistence API among the Bio* life science programming toolkits (BioPerl, Biojava, Biopython, BioRuby), each of which has a language-binding to the BioSQL schema. I specifically present the Bioperl-db software, which in a transparent manner makes BioPerl objects persistent using BioSQL. |
| Tipo: Presentation |
Palavras-chave: Bioinformatics. |
| Ano: 2007 |
URL: http://precedings.nature.com/documents/1233/version/1 |
| |
|
|
| Rutger A. Vos; Hilmar Lapp; William H. Piel; Val Tannen. |
| TreeBASE is a public repository of peer-reviewed phylogenetic knowledge. Researchers submit their results to TreeBASE when they are writing a manuscript based on them for publication in a suitable journal. The submitted data are assigned permanent, unique identifiers and web addresses that authors can refer to in their article. Anyone can locate and access the data once the study has been published by TreeBASE and by the targeted journal.

A prototype of this system has served the phylogenetics community well for a number of years, accumulating the results of thousands of studies. The usage model was that of a silo where data could only be accessed through a web browser, and only be downloaded in representations that... |
| Tipo: Manuscript |
Palavras-chave: Bioinformatics; Evolutionary Biology. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/4600/version/1 |
| |
|
|
| Arlin Stoltzfus; Karen Cranston; Hilmar Lapp; Sheldon McKay; Enrico Pontelli; Rutger Vos; Nico Cellinese. |
| Interoperability is the property that allows systems to work together independent of who created them, or how or for what purpose they were implemented. It is crucial for aggregating data from different online resources and for integrating different kinds of data. Interoperability is based on effective standards that become and remain broadly adopted. We argue that to develop and apply such standards for evolutionary and biodiversity data sustainably, we need a community-driven, open, and participatory approach. With the goal to build such an approach, the EvoIO collaboration emerged in 2009 from several NESCent-sponsored activities. EvoIO aims to be a nucleating center for developing, applying and disseminating interoperability technology that connects... |
| Tipo: Manuscript |
Palavras-chave: Bioinformatics; Evolutionary Biology. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/4588/version/1 |
| |
|
| |
|
| |
|
| |
|
|
|
