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A Text-Mining Analysis Of The Human Phenome

 
  April, 26 2006 9:50
your information resource in human molecular genetics
 
     
A number of large-scale efforts are underway to define the relationships between genes and proteins in various species.

In a paper published in in European Journal of Human Genetics (2006, Vol. 14, pp. 535-542), the authors (van Driel et al.) have used text mining to classify over 5000 human phenotypes contained in the Online Mendelian Inheritance in Man database. They find that similarity between phenotypes reflects biological modules of interacting functionally related genes. These similarities are positively correlated with a number of measures of gene function, including relatedness at the level of protein sequence, protein motifs, functional annotation, and direct protein–protein interaction.

The phenotype similarity data are accessible through a web interface at http://www.cmbi.ru.nl/MimMiner/.

Correspondence:

Professor HG Brunner, Department of Human Genetics, University Medical Centre Nijmegen, Geert Grooteplein 10, 6525GA Nijmegen, The Netherlands.
E-mail: H.Brunner@antrg.umcn.nl

Abstract available online.

(C) European Journal of Human Genetics.

Posted by: Tressie Dalaya.


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