Here are some new and freely accessible biomedical databases:Drug2Gene:
http://www.drug2gene.com - It’s free and unifies a number of popular public resources to provide structured and organized information for identified and reported relations between genes/proteins and drugs/compounds. It allows user’s interactive management by the ability to flag, comment and update relations, to import new
drug-gene relations valuable for a specific project. Gene orthology and similarity information is matched to certain relationship entries assisting the prediction of new unreported drug-gene associations. You can go to the original source of the reported relation and explore for more facts, details and evidences...
PhenomicDB:
http://www.phenomicdb.de - It's a free multi-organism phenotype-genotype data repository unifying a variety of primary sources to make phenotypic data from a wide range of species and model organisms simultaneously searchable, visible and comparable. Reported
genotype-phenotype relationships are supported by literature evidence, reference links and citations. Each genotype and each phenotype is characterized by description details allowing related facts exploration. Phenotypic data clusters are mapped to each entry to help further analyze similar phenotypes/diseases caused by different genes or mutations. Gene orthology information is appended to each entry to help suggest a known phenotype/disease to a new or orphan genotype/mutation and thus predict a new unreported phenotypic manifestation.
Here is a free online tool for text extraction analysis (new functionalities are to be added):WebRT:
http://webrt.metalife.com/ - Metalife Web Recognition Tool is a light
text mining tool developed for
online text analysis of diverse-type biomedical and molecular biology literature contents. Its main function is terms/phrase extraction and categorization with the ability to recognize synonyms, acronyms and spelling variations, to normalize and unify hits, to distinguish between seemingly equal terms with different categorization, etc. Relations extraction is expected soon...
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