Nexus Expression

Category Genomics>Gene Expression Analysis/Profiling/Tools

Abstract Nexus Expression is a new addition to BioDiscovery's Nexus line of products for microarray data analysis.

Nexus Expression is a solution that is computationally very advanced but simple to use by scientists for answering common research questions.

The manufacturers design objectives for this package have been the same as their very successful Nexus Copy Number product (see G6G Abstract Number 20132B):

1) A platform independent solution (support for all commercial platforms and custom arrays).

2) Efficient processing on a basic desktop computer (hundreds of high density arrays can be processed in one project).

3) A user-friendly interface designed for end-user researchers Not informaticians (No programming knowledge needed).

Nexus Expression provides an intuitive and streamlined approach to convert raw signal values into meaningful information by integrating sample phenotypes (e.g., disease stage, survival, age, sex, etc.) with gene annotations (e.g. GO terms).

Users can effortlessly navigate large datasets and generate results with a few mouse clicks.

For example, in a cancer study, differentially regulated genes in the HER2 positive sub-population as compared to HER2 negative can be identified in one click and the affected biological processes can be identified with another click.

Using a sophisticated ANalysis Of VAriance (ANOVA) engine under the hood, the user can easily compare between subgroups, cluster samples and genes, view annotations and perform gene enrichment all with single clicks.

Nexus Expression is platform agnostic so data from multiple commercial and custom platforms can be loaded, processed, and viewed with ease.

Nexus Expression features/capabilities include:

One Click Workflow --

1) Raw Data - Platform independent solution providing support for all array types including:

Affymetrix®, Agilent®, GenePix®, Illumina®, ImaGene® (see G6G Abstract Number 20128R), Roche NimbleGen®, BAC arrays, and Custom arrays.

2) Analysis - Statistical computation of differentially regulated genes (with batch effect correction).

3) Discovery -

a) Cluster samples and genes to discover expression patterns. Color code samples based on phenotypes to gain further insight into phenotypes associated with different clusters.

b) Simultaneously compare expression profiles of multiple comparisons alongside gene annotations. Link out to external databases for more information on genes and probes.

c) Identify and display significant genes in affected biological processes comparing between sample groups.

d) Generate Kaplan Meier plots to estimate survival of different populations with associated log-rank significance value.

e) Find Gene Ontology (GO) terms that are significantly over- represented among a sub-group (e.g. down-regulated probes in short vs. long term survivors).

f) Perform integrated Gene Set Enrichment Analysis (GSEA) computation.

Note: See G6G Abstract Number 20129R for additional product info from this manufacturer.

System Requirements


Manufacturer Web Site BioDiscovery, Inc.

Price Contact manufacturer.

G6G Abstract Number 20006A

G6G Manufacturer Number 100431