CHOmics

CHOmics performs integrative multi-omics data analysis of Chinese hamster ovary (CHO) cell lines, including RNA sequencing (RNA-seq) processing, to support gene- and pathway-level characterization relevant to cell growth, specific productivity, and product quality.

Key Features:

• RNA-seq pipeline: Provides a built-in pipeline tailored for RNA sequencing (RNA-seq) data processing and gene expression profiling.
• Statistical analysis: Implements multilayered statistical modules to identify relevant genes and pathways from omics data.
• Multi-omics integration: Supports comparison and integration of diverse omics datasets at both gene and pathway levels.
• Pathway analysis: Performs pathway-level analyses to link omics changes to cellular mechanisms in CHO cells.
• Data processing and management: Includes functionality for processing and organizing omics datasets for downstream analysis.
• Visualization of results: Generates visualizations of gene expression and pathway analysis outputs.

Scientific Applications:

• CHO cell characterization: Characterizing gene expression and pathway alterations in Chinese hamster ovary (CHO) cell lines.
• Process optimization: Informing biopharmaceutical process optimization related to cell growth, specific productivity, and product quality.
• Multi-omics comparison: Enabling holistic integration of multiple omics types to study cellular processes in CHO cells.
• Target identification: Identifying genes and pathways associated with CHO cell phenotypes.

Methodology:

Built-in RNA-seq data processing pipeline and multilayered statistical modules to analyze gene expression and identify genes and pathways, with support for multi-omics gene- and pathway-level comparisons.