GeneSpring 13.0

The GeneSpring 13.0 released with some major changes and enhancements in the tool. Below is a list of the major new features in GeneSpring for the 13.0 release:

Metadata Framework

  • Visualize sample associated metadata in conjunction with the clustered experimental results.
  • Depending on the type (numerical or categorical, discrete or continuous), view sample parameters as bar chart, scatter plot, profile plot, heat map or label plot.
  • Sort and order clustered experimental data and sample parameter plots on the sample parameters.
  • Visualize and understand dependencies between samples and their gene, metabolite, or protein expression profiles.

Correlation Analysis

  • Find directional linear associations (correlation) between pairs of entities or pairs of samples in an experiment.
  • Find correlation between pairs of entities of two different experiments (Multi-Omic Correlation Analysis).
  • Cluster entities or samples based on their expression profiles’ correlation coefficients and visualize entities that are co-regulated or share similar biological functions.
  • Filter on associated experimental data to extract previously unsuspected relationships between entities or samples.
  • Dissect the complexity of your data.

Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Analysis

  • KEGG pathways are a collection of manually curated pathway maps.
  • GeneSpring Pathway Analysis capabilities are enhanced by including KEGG Pathways.
  • Once a KEGG license is acquired, the KEGG pathways will be available for download from the Agilent Server through GeneSpring.

New NGS Workflow Between GeneSpring and Strand NGS

  • NGS module of GeneSpring is transitioning to Strand NGS for expediting your next-generation sequencing data analysis.
  • New workflow allows data integration between Strand NGS and GeneSpring to perform a comparative study.
  • Export read and entity level data from Strand NGS to GeneSpring and perform Multi-Omic Pathway Analysis and Correlation Analysis.