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Increase Research Productivity in Gene Expression Data Mining

Webinar Recording

Learn how to increase research productivity by using powerful, yet easy-to-use computational tools. These tools help bench scientists and informatics specialists reduce the bottleneck of information flow between experimental results and informatics analysis.

For the informatics specialist, a centralized platform can integrate bioinformatics data and applications, providing the flexibility to quickly evolve data processing workflows as new algorithms are made available.

For the bench scientist, data processing workflows are available in an easy-to-use web interface to quickly interpret gene expression results and use powerful text analytics to help identify critical information in the literature.

A Specific Androgen Receptor Modulator (SARM) case study will be presented

See how you can analyze and interpret a gene expression experiment for cell lines treated with two androgen receptor agonists at two time points:

  • Genes which are differentially expressed are used to mine the literature for PubMed abstracts to create an interactive summary report.
  • These abstracts are then used to create an interactive proximity map to show how the abstracts are related to each other.
  • A sequence analysis is also performed for these genes with prostate cancer co-publications.

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