OmnibusX

OmnibusX integrates open-source tools and proprietary modules to enable multi-omics data analysis across bulk RNA-seq, single-cell RNA-seq, single-cell ATAC-seq, and spatial transcriptomics.

Key Features:

• Multi-omics Integration: Consolidates workflows for bulk RNA-seq, single-cell RNA-seq, single-cell ATAC-seq, and spatial transcriptomics into unified pipelines.
• Open-source Tool Integration: Incorporates Scanpy, DESeq2, SciPy, and scikit-learn into reproducible analytical pipelines with user control over parameters.
• Cell-type Prediction Engine: Proprietary module providing highly accurate cell-type prediction.
• Interactive Plotting Editor: Proprietary module for generating publication-quality visualizations.
• Local Data Processing: All data processing conducted locally without external data transfer or usage tracking.

Scientific Applications:

• Transcriptomics Analysis: Supports bulk and single-cell RNA-seq data analysis workflows.
• Epigenomics Analysis: Enables single-cell ATAC-seq data processing and interpretation.
• Spatial Transcriptomics: Facilitates analysis of spatially resolved gene expression data.
• Cell-type Annotation: Automated prediction of cell types using the proprietary prediction engine.
• Reproducible Research: Transparent pipelines with controllable analytical parameters for robust, data-driven collaborations.

Methodology:

OmnibusX integrates established open-source tools including Scanpy, DESeq2, SciPy, and scikit-learn into transparent, reproducible pipelines.