One of the main goals of systems biology is to determine those modules and their components, by data-mining and integrating high-throughput 'omics' data.
The future directions of this research include testing other text mining models and integrating data collected from both online reviews and questionnaire-based surveys.
This would also be coincident with the ongoing development of improved computational approaches to mine and integrate this type of data [discussed in ref. [ 11]].
This article describes the data available in COSMIC along with examples of how to successfully mine and integrate data sets using COSMICMart.
MRB aims to provide useful information to both bench scientists, who can easily navigate and find all mouse related resources in one place, and bioinformaticians, who will be provided with interoperable resources containing data which can be mined and integrated.
This article is intended to give an overview of PED, describe its data content and work through examples of how to successfully mine and integrate pancreatic cancer data sets and other BioMart resources.
In particular, papers selected for this thematic issue aim to address the analytical and data mining needs in the informatics field by developing novel methods to mine, summarize and integrate the huge volume and diverse modalities of the structured and unstructured biomedical and healthcare data.
Therefore recent advances in live imaging will need to be paired with developments in computational biology, as appropriate informatics methods will need to be developed and implemented in order to mine, present and integrate this type of in vivo biological data.
These advanced analytics methods include predictive analytics, data mining, text mining, integrated statistics, visualization, and summarization tools.
The dictionary is designed for text mining and all integrated data have been filtered, curated and disambiguated automatically [9].
