metalife trinity - the complete life science solution
metafind
keyword search
bioexplorer
HV sequence repository
phenomicdb
genome viewer
pathway viewer
interaction viewer
gene nominator
drug2gene
job designer
BLAST search
genome comparison tool
EST clustering tool
epitope validator
patent generator
patent analyzer
metatext
recognition tool
text analyzer
document manager
thesaurus tool
array analyzer
semantic search
Metalife Explorer categorizes applications performing automatic compilation of information.
Based on the integrated Metalife Knowledge Base and the biological object model the applications
in the Metalife Explorer Suite automatically compile complete dossiers on selected items
(e.g. proteins, genes or low molecular weight compounds).
These dossiers contain information collected from all integrated data sources which is grouped in
meaningful categories. Additionally, they are enriched with information that is extracted from scientific
publications by our text extraction procedures.
The optimized user interfaces guarantee fast and efficient access to the relevant information.
Metalife Predictor is a set of tools for in silico prediction of features and functional characteristics of a given
biological object. Sophisticated algorithms and position scoring matrices utilize all the background information to
further refine the prediction results produced by a wide variety of optimized sequence based algorithms.
Different algorithms are improved and combined in an intelligent way to increase and maximize the accuracy of the predictions.
To further increase the reliability of the results they complement with the context information from databases,
which is extracted from text sources and from accumulated conceptual knowledge. Metalife Predictor goes far beyond
prediction of discrete intrinsic molecular properties by utilizing the
accumulated information content of the Metalife Knowledge Base including the background information from our text mining tools.
Metalife Analyzer Suite contains a set of software tools that improve and create knowledge based ontologies, drive the evolution of lexical
tools and enable knowledge extraction by automatic classification of data and abstraction of common concepts.
The need for classification and abstraction of common concepts arises from the
enormous increase of the amount of published life sciences text.
It has become entirely impossible to keep the pace and read all relevant literature. The automated procedures in the Metalife Analyzer Suite
such as information extraction and
smart in silico reading are filling this knowledge gap.
Metalife Analyzer dramatically
enhances interpretation and understanding of complex structures underlying large sets of data.