The Literature Lab™ Analysis:
Literature Lab conducts a statistical analysis of the life sciences literature in relation to experimentally derived gene lists. It employs a two-step process:
First, it examines the presence of each gene in 18.5 million documents referenced in conjunction with 85,000 pathways, diseases, and other biological and biochemical phenomena.
Second, it compares this associative analysis data with the same analysis conducted on 1,000 random gene sets. Z-scores and p-values identify significant associations. A Literature Lab analysis of 100 genes, done manually, would require over a billion searches.
As a uniquely literature-mining-based approach, the Literature Lab algorithm is easy to understand, and the results are transparent. If you are reading this, you already have gene set analysis tools in your lab that are using some of the most sophisticated algorithms in the world. Great, but Literature Lab consistently identifies significant associations missed by other pathway analysis tools. The analysis is well-validated; if it indicates a pathway with a p-value of 0.0085, for example, and you weren't expecting to see it, you'd better take a look. Literature Lab takes you directly to the data driving the association, transparently, without ambiguity, and easily understandable and usable. It belongs in every lab doing translational research or working with DEGs. We guarantee user satisfaction with Literature Lab.
A Scientist Reports:
"In our study, we leveraged the powerful capabilities of LitLab™ (Acumenta Biotech) to conduct literature mining and enrich the biological interpretation of our findings. LitLab [sic] proved instrumental in analyzing differentially expressed genes (DEGs) and identifying associations with established biological processes and pathways. Integrating LitLab into our workflow gave us critical insights into immune-related mechanisms, such as Th1/Th17 pathway regulation and interleukin production that differentiate the right and left ventricles during development. The software's ability to process over 35 million PubMed abstracts and associate our DEG lists with statistically significant Medical Subject Headings (MeSH) terms was transformative. For instance, LitLab identified clusters linked to plasminogen activator inhibitor-1 (PAI-1) and IL-17 pathways, providing a novel avenue for exploring compensatory mechanisms in Hypoplastic Left Heart Syndrome (HLHS). These insights, derived from LitLab's comprehensive and regularly updated database, significantly enhanced the depth and context of our findings. What sets LitLab apart is its efficiency and precision—it took just one trial to appreciate its value. The tool streamlined our data analysis process, saving substantial time while uncovering connections we might have missed. For researchers navigating the complexities of gene expression data, LitLab is not just a tool; it's a game-changing resource that turns intricate data into actionable insights."
New Literature Lab Product packages:
Literature Lab 2 Quick Start Pathway analysis. An economical starter kit that provides the full power of Literature Lab Version 2 Pathway analysis, ideal for labs on a tight budget or large labs seeking improved analysis validation.
Literature Lab 2 Plus: Unleashes the full power of the Literature Lab analysis, with Version 2 pathway and disease analysis, and 25 other areas, providing a picture of the biological underpinnings of the organism. Literature Lab 2 Plus incorporates cell structure, cell physiology, cell and tissue types, chemical actions, and physiology, providing a comprehensive picture of the organism.