Andreas Kupfer,Silke Eckstein,Britta Stormann et al.
Andreas Kupfer et al.
Ontologies are one of the key technologies for data integration and meta-databases, by connecting databases at a semantical level. Still, the database has to be connected to the ontology and vice versa. To achieve this, we propose a two ste...
K Wolstencroft,P Alper,D Hull et al.
K Wolstencroft et al.
(my)Grid supports in silico experiments in the life sciences, enabling the design and enactment of workflows as well as providing components to assist service discovery, data and metadata management. The (my)Grid ontology is one component i...
A case study of integrating protein interaction data using semantic web technology [0.03%]
基于语义网技术的蛋白质相互作用数据集成研究（案例研究）
Lavanya Dhanapalan,Jake Yue Chen
Lavanya Dhanapalan
We describe a new ontology-driven semantic data integration approach for post-genome biology studies. Here, a view-based global schema can be automatically generated by merging RDF schemas from local databases. The semantic inconsistency of...
Luciano A Digiampietri,Jose de J Perez-Alcazar,Claudia Bauzer Medeiros
Luciano A Digiampietri
The proliferation of bioinformatics activities brings new challenges - how to understand and organise these resources, how to exchange and reuse successful experimental procedures, and to provide interoperability among data and tools. This ...
Is the protein folding an aim-oriented process? Human haemoglobin as example [0.03%]
蛋白质的折叠是有目标指导的过程吗？以人类血红蛋白为例
Michal Brylinski,Leszek Konieczny,Irena Roterman
Michal Brylinski
The model for protein folding (in silico) simulation is presented. Three steps have been implemented: early stage folding based on the backbone conformation; hydrophobic collapse based on the fuzzy-oil-drop model; aim-oriented structure mod...
Aiguo Du,Xiaohua Hu,Yi Pan
Aiguo Du
Disulphide bonds link distant portions of protein chains and provide strong structural constraints in the form of long-range interactions. Prediction and knowledge of disulphide bond connectivity is important in reducing the search space of...
A novel stationary wavelet denoising algorithm for array-based DNA Copy Number data [0.03%]
一种基于阵列的DNA拷贝数数据的新稳态小波去噪算法
Yuhang Wang,Siling Wang
Yuhang Wang
High-throughput microarrays have recently been developed to detect DNA Copy Number (DCN) aberrations. The resulting DCN data is often very noisy. Previous denoising methods proposed for DCN data assumed uniform spacing between adjacent prob...
Analysing the performance of personal computers based on Intel microprocessors for sequence aligning bioinformatics applications [0.03%]
基于英特尔微处理器的个人电脑在生物信息序列比对应用中的性能分析
Pradeep S Nair,Eugene B John
Pradeep S Nair
Aligning specific sequences against a very large number of other sequences is a central aspect of bioinformatics. With the widespread availability of personal computers in biology laboratories, sequence alignment is now often performed loca...
Tie Wang,Guoliang Xue,Jeffrey W Touchman
Tie Wang
Understanding how genes are functionally related requires efficient algorithms to model networks from expression data. We report a heuristic search algorithm called Two-Level Simulated Annealing (TLSA) that is more likely to find the global...
Xue-Wen Chen,Byron Gerlach,Dechang Chen et al.
Xue-Wen Chen et al.
For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to evaluate feature sets. For small sample problems like microarray,...