Microarray Analysis
Microarrays contain oligonucleotide or cDNA probes to measure the expression levels of genes on a genomic scale. Bioinformatics Toolbox™ lets you preprocess expression data from microarrays using various normalization and filtering methods. Use the normalized data to identify differentially expressed genes and perform enrichment analysis of expression results using Gene Ontology. You can also detect genetic variants such as copy number variations (CNVs) and single nucleotide polymorphism (SNPs) from comparative genomic hybridization (CGH) data. Visualize gene and protein-protein interaction networks using graph theory algorithms.
Categories
- Data Import and Management
Import data and annotations from various file formats
- Preprocessing
Prepare raw microarray data for analysis
- Expression Analysis
Identify, visualize, and classify differentially expressed genes and expression profiles
- Genetic Variant Analysis
Analyze and visualize genetic variants
- Gene Ontology
Download Gene Ontology (GO) information