SCINOME
Omics Data Solutions
Genomics Analysis
Genomics Analysis
- Whole Genome & Whole Exome Sequencing (WGS/WES)
- Variant calling, annotation, and interpretation
- Copy Number Variation (CNV) and Structural Variant (SV) detection
Transcriptomics Analysis
- RNA-Seq data processing and differential expression analysis
- Alternative splicing and gene fusion detection
- Gene co-expression networks and pathway enrichment analysis
Proteomics & Metabolomics
- Mass spectrometry-based data analysis
- Protein identification, quantification, and functional annotation
- Metabolic pathway analysis and biomarker discovery
Epigenomics
- DNA methylation and histone modification analysis
- ATAC-Seq and ChIP-Seq data interpretation
- Epigenetic regulation and gene expression correlation
- Biological Data Science Services
Our Biological Data Science Services Include:
Systems Biology
- Functional Enrichment analysis
- Pathway and network analysis
AI/ML for Life Sciences
- Machine Learning & Deep Learning applications in bioinformatics
- Predictive modeling for drug discovery, biomarker identification, and disease risk
Drug Discovery & Target Identification
- Virtual screening, molecular docking, and dynamics simulations
- Structure-based and ligand-based drug design
- Target validation and drug repurposing strategies
Custom Data Solutions & Visualization
- Development of interactive dashboards and data portals
- Customized data analysis workflows tailored to specific research goals
- High-quality, publication-ready visualizations and reports
- Biocuration and Dataset Preparation
Our Biocuration and Dataset Preparation Services Include
Biocuration
- Manual and semi-automated curation of biological databases
- Extraction and annotation of genes, proteins, pathways, and molecular interactions
- Literature-based curation for disease-specific targets, biomarkers, and compounds
- Integration of heterogeneous data from public and proprietary sources
Dataset Preparation
- Structuring and standardizing biological datasets for analysis
- Cleaning, normalizing, and validating data to ensure quality and consistency
- Mapping data to established ontologies and controlled vocabularies (e.g., GO, MeSH)
- Creating tailored datasets for genomics, transcriptomics, proteomics, and more
Data Integration & Annotation
- Cross-referencing data across multiple databases for enriched datasets
- Functional annotation of genes, proteins, and metabolites
Custom Dataset Development
- Building disease-specific or condition-specific datasets
- Preparing datasets for machine learning and AI-driven analysis
- Generating high-quality training datasets for predictive modeling
Applications of Our Biocuration Services:
- Drug discovery and repurposing studies
- Biomarker identification and validation
- Network pharmacology and systems biology research
- Development of targeted therapeutic strategies
Why Choose Scinome?
- Expertise Across Life Sciences, Omics & Data Science: Combining domain knowledge with cutting-edge computational tools.
- Tailored Solutions: Personalized approaches to fit your project’s unique needs.
- End-to-End Support: From raw data to insightful results, with full transparency and collaboration.
- Commitment to Quality: Delivering accurate, reproducible, and meaningful results.
