Bioinformatics Solutions
Bringing Clarity to Complexity
At Sanray Labs, we harness the power of AI and machine learning to decode the immense complexity of modern omics and next-generation sequencing (NGS) data. Our bioinformatics platform forms a critical backbone to our genomics services—transforming raw datasets into actionable insights across a wide spectrum of applications, from basic research to advanced translational studies.
Advanced Bioinformatics Solutions for Genomic Insights
Data Analysis
Genomic data analysis transforms raw sequencing data into biological insight. Using advanced computational tools and pipelines, we extract meaningful patterns, annotate variants, identify biomarkers, and support hypothesis-driven research and clinical applications.
Our analytical solutions include:
Primary Analysis: Base calling, quality control, and alignment
Secondary Analysis: Variant calling, expression quantification, and methylation profiling
Tertiary Analysis: Functional annotation, pathway enrichment, and clinical interpretation
We help researchers, clinicians, and biotech companies navigate genomic complexity with clarity, accuracy, and biological relevance—turning data into discovery.
Multi-Omics Tools Integration
Multi-Omics Integration: A Unified View of Biology
Multi-omics integration combines data from genomics, transcriptomics, proteomics, metabolomics, and other molecular layers to reveal a holistic picture of biological systems and disease mechanisms. By analyzing these layers together, researchers can uncover complex interactions and drivers of disease that are invisible to single-omics approaches.
Key Integration Strategies:
Normalization: Tools like DESeq2 and limma standardiz
Preprocessing: Tools such as FastQC and Trimmomatic ensure data quality and readiness for analysis.
This approach enables deeper insights into functional biology, biomarker discovery, and personalized medicine.
Customizable Output
ustomizable output in bioinformatics tailors genomic results to specific research, clinical, or analytical needs. It transforms complex data into clear, actionable insights—supporting everything from diagnosis to discovery.
Key Applications:
Clinical Genomics: Actionable variants, treatment options, and counseling reports
Cancer Genomics: Driver mutations, fusions, and therapy targets
Population Studies: Demographic-specific variant summaries
Research: Pathway analysis, functional annotations, and novel findings
Pharmacogenomics: Drug response predictions and personalized prescribing guidance
Custom outputs enhance interpretation, improve decision-making, and ensure the right information reaches the right audience.
Automated NGS Pipelines
Automated NGS pipelines simplify genomic analysis by integrating key steps into fast, scalable workflows. They boost efficiency and reproducibility, and with AI and multi-omics integration, they’re advancing precision medicine and genomic research.
Expert Led Analysis
Our multidisciplinary team of bioinformaticians, geneticists, and clinicians validates AI findings, provides biological and clinical context, and ensures nuanced, ethically grounded interpretations tailored to research or diagnostic goals.
AI-Powered Insights
Leveraging advanced machine learning, we rapidly analyze large-scale NGS data to detect patterns, predict variant effects, and generate actionable genomic insights—enhancing speed, scalability, and precision in data interpretation.