Spotfire for Target & Biomarker Discovery

Spotfire provides unique capabilities to analyze the wealth of “-omics” data; enabling Spotfire customers to more effectively identify new drug targets and biomarkers. Spotfire facilitates the routine analysis of genomic and proteomic data, and the real power emerges when data is combined from multiple sources to enable new insights and discoveries.

Quickly identify the most promising genes, validate these targets by supporting methods such as rtPCR, further understand their biological relevance by incorporating additional information, and apply this information to target disease states.

Identify single nucleotide polymorphisms (SNPs) of interest based on experimental data associated with known information from a variety of sources, easily create new methods for handling the latest genotyping technology and implement new statistical routines and visualizations. Discover proteins with multi-fold changes in expression patterns and cluster the expression profiles to find proteins with similar patterns, correlate interesting findings with corresponding gene expression data.

"I selected TIBCO Spotfire S+ because the company has a history of developing and delivering powerful analytical tools. I believe that this product has a significant advantage over other competitors due to its powerful analytics and visualization tools."
- Todd Wood, Director of Bioinformatics, Genomics Institute


sarAndCurves

  • Target Identification: Quickly identify the most promising genes, validate these targets by supporting methods such as rtPCR, further understand their biological relevance by incorporating additional information, and apply this information to target disease states.

  • Genotyping: Identify single nucleotide polymorphisms (SNPs) of interest based on experimental data associated with known information from a variety of sources, easily create new methods for handling the latest genotyping technology and implement new statistical routines and visualizations.

  • Protein Expression: Discover proteins with multi-fold changes in expression patterns and cluster the expression profiles to find proteins with similar patterns, correlate interesting findings with corresponding gene expression data.

Related Demos

  • Enables rapid clinical data quality assessment, data cleaning deliverables to be met, provides visibility across programs, projects and studies; as well as optimal project and staff management
  • Provides a dashboard view that consolidates and presents all clinical supply-related data in one location of investigational product supply and distribution operations to measure the health of the organization’s internal and external supply chain operations.
  • An interactive analysis enabling you to define a set of gene clusters and evaluate their expression profiles.
  • HCS Tox Assay - Notes This High content Screening (HCS) assay is part of a predicitive toxicology screen, carried out to identify problem compounds in advance of animal or clinical studies. Cells were grown in 96 well plates, treated with test compound, labelled with two different dyes: one which labels nuclei and gives information on cell counts and cell health, the other is an indicator of a secondary toxic effect, which accumulates in specific sub-cellular organelles. Not all compounds casue the secondary effect. Data comes from two sources - individual cell stats (1 datapoint per cell) and pre-aggregated stats per well. There is also a template file giving details of the concetrations and location of test and control compounds.
  • An application which uses public data to evaluate the research pipelines of the top 20 pharmaceutical companies.
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