Agilent CGH Analytics Software is a bioinformatics tool designed for the analysis of comparative genomic hybridization (CGH) data. It provides a platform for processing, visualization, and interpretation of CGH arrays, which are used to detect copy number variations (CNVs) in the genome. This software helps researchers identify genomic abnormalities and copy-number based biomarkers in various fields like oncology, neurology, and cytogenetics. The software offers robust statistical algorithms to efficiently locate disease-implicated regions of genomic amplification or deletion from large quantities of aCGH data. It supports versatile data import from various array platforms, including high-density arrays, and allows for combined CGH and gene expression data analysis to identify genes influenced by copy number changes. It features innovative algorithms for aberration calling and proprietary error modeling to reduce false positives. Agilent CGH Analytics is commonly used in cancer research, developmental abnormalities, and studies on disease susceptibility and differential drug responses. It enables researchers to visualize aberrant regions in single or multiple samples through intuitive visualizations and heatmap-like views. The software can report detected aberrations with probe-based or interval-based scores and allows saving gene lists associated with aberrant regions for further analysis. The software includes an integrated online help system and is supported by Agilent's worldwide support organization. It offers flexibility by allowing import and analysis of both Agilent and non-Agilent files. It can analyze catalog and custom gene expression data alongside aCGH data, and its flexible plug-in architecture enhances data analysis by enabling identification of genes changing in both expression and copy number, precise localization of aberration breakpoints, and detection of smaller aberrations.