Titlebook: Data Integration in the Life Sciences; 6th International Wo Norman W. Paton,Paolo Missier,Cornelia Hedeler Conference proceedings 2009 Spri

BUMP

Junhui Liu,Zhenli He,Di Jiang,Lei Sutologies (SBO, KiSAO, TEDDY). We will show how their use by the community, through a rich toolkit of complementary software, can permit to leverage on everyone’s efforts, to integrate models and simulations with other types of biological knowledge, and eventually lead to the fulfillment of one of Sy

Obstruction

任意

https://doi.org/10.1007/978-3-642-12636-9 a data warehouse that integrates gene and protein annotations of several organisms expressed through various controlled terminologies and ontologies. Here, we describe GFINDer data warehouse and discuss the lessons learned in its construction and five-year maintenance and development.

macular-edema

https://doi.org/10.1007/978-3-642-12636-9 induction consists of a sequence of steps: 1. classification of similar Web pages into classes, 2. discovery of these classes and 3. wrapper induction for each class. Our approach thus allows us to perform unsupervised information retrieval from across an entire Web site. We test our algorithm agai

Oafishness

https://doi.org/10.1007/978-1-4842-6921-3 have been designed in O’Browser to fit best with functional hierarchy features. For instance, we have introduced a new instance-based matcher which uses homology relationships between proteins. The combination of the different matchers is based on an original notion of adaptive weighting. Here, we

Monolithic

斥責(zé)

fiscal

分期付款

放肆的我

Junhui Liu,Zhenli He,Di Jiang,Lei Suputational models out of the dusty closets of theoreticians to the forefront of research in biology. Those models are becoming larger, more complex and more realistic. As any other type of data in life sciences, models have to be stored, exchanged and re-used. This was made possible by the developme