Standardize, convert, and host your raw data for downstream discovery. Eliminate weeks spent learning and troubleshooting disjointed bioinformatic pipelines. Our cloud-native ecosystem ingests raw file formats (FASTQ, SAM, BAM) and interconnects them, providing a flawlessly structured repository where any sample or format is instantly tracked. The platform executes automated quality control, genome alignment, differential feature extraction, and basic pathway analysis. We also offer clinical-grade statistical analysis of pure clinical data, tailored specifically for clinical trial cohorts.

• 🧬 Supported Modalities: RNA-Seq | ATAC-Seq | ChIP-Seq | Microbiome (16S/Shotgun) | Proteomic | RNA-Protein Interactions (iCLIP) | Spatial | scRNA | Clinical Biostatistics

Uncover advanced features from your omic data. Go beyond standard analysis with tools and machine learning workflows carefully curated from thousands of top-tier scientific articles, bringing rare or complex literature-derived algorithms straight to your workspace. Activate advanced, widely utilized add-on analysis workflows to extract deeper dimensions from your existing datasets without writing a single line of code.

• 💡 e.g., From bulk RNA-Seq: alternative splicing, immune deconvolution, gene correlation networks, and non-coding RNA profiling; from single-cell RNA-Seq: CellChat ligand-receptor signaling and cell-type identification.

Gain a complete molecular picture through a unified view of your study datasets, transforming isolated data slices into deep, multi-layered insights.

• 🔄 (a) Clinico-Multiomic Fusion: Integrate multiple disparate omic layers directly with patient clinical phenotypes using state-of-the-art proprietary and open-source ML integration models.
• 📈 (b) Single-to-Multiomic Expansion: Match isolated profiles with our data infrastructure to transform single-omic inputs into a 360-degree multiomic view. If you only upload bulk RNA-Seq, Bainom integrates structural-functional attributes from global historical datasets to infer promoter states, 3’UTR sequence motif enrichments, and predicted protein expression levels, revealing exactly why your features are differentially expressed in disease states versus healthy controls.

Maximize the value of global biomedical knowledge without leaving your workspace by querying your features against a pre-compiled universe of data.

• 🌐 (a) Repository & Tensor Mining: Cross-reference your extracted molecular features against our Bainom Disease Matrix—a massive, compiled matrix of clinically actionable multiomic features pre-extracted from public and private repositories like UK Biobank, GEO, and TCGA. Instantly query if your features are known to be associated with your specific study condition, or run a global check against every cataloged disease to map overall feature relevance.
• 🗺️ (b) Deep Cohort Stratification: Match your specific patient profiles against global molecular subtyping data. Dynamically place your samples into large-scale alignment matrices (such as global PCA maps) to instantly determine which disease subtype a sample belongs to and unlock its pre-analyzed structural-functional attributes.

Move directly from complex multiomic data matrices to validated, translational medical assets.

• 🎯 (a) Feature Prioritization & Biomarker Training: Validate, shortlist, and rank extracted features by direct biological significance. The engine utilizes AI-based attention-scoring and automated pathway-network analysis to isolate critical network hubs and information flow. Once prioritized, turn these features into bonafide biomarkers by training and testing predictive ML models against large-scale clinical metrics like overall patient survival.
• 📄 (b) Evidence-Backed Reporting & Drug Repurposing: Instantly generate a comprehensive, multi-layered clinical report mapping your top features to established FDA guidelines, active clinical trials, case studies, and peer-reviewed literature. Simultaneously run automated drug repurposing pipelines to identify existing therapeutics in use for any disease, uncover their molecular mechanisms, and predict effectiveness against your target features. For novel pipelines, leverage our AI-guided small molecule development engine to accelerate therapeutic discovery.