Acumenta Biotech's Literature Lab™ combines the power of publications with gene analysis to enable discovery of disease and pathway associations from gene sets in minutes, not months.
Literature Lab presents the biology of individual gene sets and provides visualization of differences, similarities and biological changes across multiple gene sets, getting you to the next steps in your research faster and with more confidence.
A literature mining solution, Literature Lab™respects the uniqueness of each gene list that is analyzed and returns consistent and unique results accordingly.
What users are saying about Literature Lab:
"Literature Lab doesn't depend on a fixed database of gene lists or ontology data. It looks in real time at the relationship of your gene lists to biological concepts mined from the literature. Accordingly it can reveal pathway involvements that you may not see just looking at canonical genes, for example.”
"I have used a variety of pathway analysis programs over the years to analyze gene expression datasets. Literature Lab impressed me as it takes a different approach to identify gene associations compared to every other tool that I have seen. Its output identified functional associations that I had not found with other tools, some of which are intriguing enough to examine in vivo to test their physiologic significance. Literature Lab’s weighting system provides a more transparent understanding to users about the relative strength of the relationships between genes and pathways/terms, as well as linked access to the primary literature supporting gene associations, and I find this valuable and entirely unique. I am also impressed by the ease and speed with which Literature Lab can analyze and transform expression data into publication-quality tables or figures including gene clusters or heat maps.”
--Genomics Core Director
--Principal Investigator and NGS Core Scientific Director
Literature Lab performs a statistical analysis on the scientific literature as it relates to experimentally derived gene lists. A Literature Lab analysis on a list of 25 genes performs the equivalent of 600 million manual searches.
Stop missing valuable functional associations and understand your gene lists quickly
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See Literature Lab at upcoming conferences:
- Beyond the Genome: Cancer Genomics, Harvard Medical School, Boston, USA 8 - 10 October 2014
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