| | nSolver™ Analysis Software


Precision Visualized: nSolver™ Analysis Software 2.0

REQUEST or LOGIN for nSolver 2.0
Note: New customer accounts can take up to 1 business day to verify

Automated QC, Normalization, and Analysis for Your nCounter Data

The NEW nSolver™ 2.0 Analysis Software is a free data analysis program that offers nCounter users the ability to quickly and easily QC, normalize, and analyze their data without having to purchase additional software packages. Additionally, it offers customizable, publication-ready visualizations such as heat maps, scatter plots, box plots, violin plots, and histograms.

Data Visualizations

Box Plots

Box Plots

Box plots are non-parametric analyses that display differences between subsets of an experiment without making any assumptions about the underlying statistical distribution. They display the range of data as well as the extents of each quartile.

Heat Maps

Heat Maps

Heat maps use agglomerative clustering, a bottom-up form of hierarchical clustering that merges pairs of clusters as they move up the hierarchy. This makes inferences about the relationships of all data sets to each other and is often used to evaluate gene expression.

Scatter Plots

Scatter Plots

Scatter plots compare raw, normalized, grouped or ratio data by plotting individual data points using Cartesian coordinates and assigning one variable to each axis. They can be used to identify trends in the relationship between two variables with little or no manipulation.

Violin Charts

Violin Charts

Violin plots are similar to box plots in that they display the range of data. However, they also show the density of values along an axis, much like a histogram. They can be used to illustrate relative gene expression in different cell populations over time.

Histograms

Histograms

Histograms display the distribution of data that have been “binned” into discrete intervals. They are used to estimate the probability distribution of a continuous variable.



nSolver 2.0 Features

  • Significance Testing and Error Model for Ratios
  • User-Defined Gene Annotations
  • Cross-CodeSet Analyses
  • Background Subtraction
  • Preferences and Housekeeping Gene Retention
  • Ingenuity Enhancements
  • nDesign Integration

Functionality

  • Perform automated background subtraction corrections for miRNA and miRGE™ data
  • Implement customized quality control on samples/lanes
  • Easily design, save, and edit user-defined experiments
  • Perform customized normalization and fold change measurements
  • Perform copy number calculations for CNV assays
  • Easily integrate with pathway applications
  • Conveniently generate multiple reports
  • Perform comprehensive and detailed search from anywhere in the application

Request Information | E-mail us: info@nanostring.com | Call us: 1 888 358 6266