Introducing Literature Lab™. Understand your gene lists quickly and stop missing valuable functional associations.
Literature Lab™ respects the uniqueness of each gene list that is analyzed...and returns consistent and unique results accordingly.
Feedback on Literature Lab:
"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.”
--Principal Investigator and NGS Core Scientific Director
"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.”
--Genomics Core Director
A Literature Lab analysis on a list of 250 genes performs the equivalent of 6 billion manual searches
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.
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