A Survey of Semantic Integration Approaches in Bioinformatics

Technological advances of computer science and data analysis are helping to provide continuously huge volumes of biological data, which are available on the web. Such advances involve and require powerful techniques for data integration to extract pertinent knowledge and information for a specific question. Biomedical exploration of these big data often requires the use of complex queries across multiple autonomous, heterogeneous and distributed data sources. Semantic integration is an active area of research in several disciplines, such as databases, information-integration, and ontology. We provide a survey of some approaches and techniques for integrating biological data, we focus on those developed in the ontology community

Brainstorming - Questions to address

We could add one component for each question/topic that we wish to address during EMOSE 201

Data - Banyuls comparative experiment

The Banyuls Experiment was a three-days fieldwork aimed at generating a new set of data that we can use for the Inter-Comparison of Marine Plankton Metagenome Analysis Methods. It includes "whole water" and "size-fractionated" filtrations using "sterivex" and "142mm-diam-membranes", and compares filtration volumes of 1, 2.5, 10, 100 Litres. Enough replicates from the same water mass ("true" sampling replicates) are available to pool samples and obtain the equivalent of 500L and 1000L samples. Sequencing was done swiftly by Genoscope during the summer holidays, sequences are now (soon) publicly available at ENA and are currently going through the analysis pipeline of EBI