The Literature Lab™ data mining platform makes advances

A unique automated platform for functional analysis of genetic data through statistical mining of PubMed.

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Literature Lab™, from Acumenta Biotech, is a unique automated platform for functional analysis of genetic data through statistical mining of PubMed. Literature Lab™ also functions to identify and score the strengths of co-occurrences between biological and biochemical terms in the literature.

"Literature Lab is an easy to use automated functional analysis and data mining tool uniquely suited to uncover associations and co-occurrences among diseases, pathways, chemical actions, etc. in the literature. It was of great use to us in a recent study to uncover shared genetic etiology among allergic diseases”

Tesfaye Mersha, Assistant Professor, University of Cincinnati, Department of Pediatrics, Resolving the etiology of atopic disorders by using genetic analysis of racial ancestry. 2016. Journal of Allergy and Clinical Immunology. S0091-6749(16)30256-1.

“One of the most powerful strengths of the Literature Lab™ platform is that it addresses two big data issues”, explains Damon Anderson PhD, Vice President of Business Development. “First, ...

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