Chipster

Chipster performs integrated analysis and visualization of high-throughput biological data (next-generation sequencing, microarrays, proteomics, and other omics) to support exploratory analysis, multi-omics integration, and reproducible workflows.

Key Features:

• Multi-omics data support: Supports analysis and integration of next-generation sequencing (NGS), microarrays, proteomics, gene expression, miRNA, and aCGH data.
• Interactive visualizations: Provides interactive visualizations that enable selection of specific data points and generation of new gene lists.
• Workflow management: Allows saving analysis steps as reusable, automatic workflows that can be shared to promote reproducibility.
• Reference data and aligner support: Includes reference data such as Ensembl genomes indexed for aligners and an extensive collection of analysis tools.
• Extensibility: Supports a wide range of data types beyond microarrays, including proteomics and sequencing, and can be extended with additional analysis tools.

Scientific Applications:

• Exploratory data analysis: Enables exploratory analysis and hypothesis generation using interactive visualizations and gene list extraction.
• Multi-omics integration: Facilitates combined analyses of gene expression, miRNA, aCGH, proteomics, and sequencing data.
• Reproducible research and collaboration: Supports reproducible analyses and collaborative sharing of analysis workflows and sessions.
• Genomics and molecular biology studies: Applicable to genomics and molecular biology research workflows involving NGS, microarrays, and proteomics.

Methodology:

Interactive visualization with selectable data points and gene list generation; saving and executing reusable automatic workflows; inclusion of Ensembl genomes indexed for aligners and bundled analysis tools and reference data.