GeneSifter® Analysis Edition:
Sophisticated Statistical Analysis
Combined with its unique ease-of-use, GeneSifter offers a robust statistical framework with 15 advanced options, including 2-way ANOVA, PCA, PAM, hierarchical clustering, CLARA, FDR, FWER, RMA, Max T and more.
Through a web-based interface, GeneSifter provides “R” platform biostatistics and Integrated Gene Ontology and pathways analysis. For validation, MIAME-compliant protocols are also available.
Anytime, Anywhere Access
GeneSifter provides its product through a secure web-based interface, offering convenience and performance. Keep your data secure with password protected access to your individual account or opt to share your findings worldwide through web-based collaboration - the choice is yours.
GeneSifter takes care of your data security and management with its state-of-the-art hosting facility and daily back-ups of your critical data.
Focus on the science, not the software with the tools you need to understand the data:
- Pairwise Analysis
Define two groups then apply normalization, statistical analysis and quality metrics to create lists of differentially expressed genes.
Apply fold change cutoffs, statistical analysis and quality metrics to create lists of differentially expressed genes.
- Interactive Scatter Plot
Provides visualization of the entire array data set and identification of individual genes.
- Cluster Samples
Use hierarchical clustering to determine the relationship of samples based on a gene list.
- Project Analysis
Define and analyze groups across multiple conditions.
- Function Navigation
Rapidly identify and group genes based on function using Gene Ontology terms.
- Ontology Report
Summarize the ontology terms for a gene list or use Z-Scores to assess biological significance.
- Pattern Navigation
Define and identify patterns of gene expression with supervised clustering.