Innovative Science and Technology Solutions

We provide end-to-end genomics services to help researchers and companies interpret complex DNA datasets. Our expertise covers whole-genome sequencing (WGS), whole-exome sequencing (WES), targeted sequencing, variant discovery, SNP and indel analysis, structural variant detection, and genome annotation. Using cutting-edge pipelines and AI/ML approaches, we translate raw sequencing data into actionable insights for precision medicine, agriculture, or fundamental research.

Key Offerings:

• Whole-genome and exome sequencing analysis
   
• Variant calling and annotation (SNPs, indels, SVs)
   
• Structural variant detection and interpretation
   
• Population genomics and evolutionary studies
   
• AI/ML-based genomic pattern analysisour business to the next level with robotics.

Our transcriptomics solutions enable comprehensive analysis of gene expression across tissues, conditions, and time points. We work with bulk RNA-seq, single-cell RNA-seq, and long-read transcriptomics data to provide differential expression, alternative splicing, pathway analysis, and regulatory network inference. By integrating AI and machine learning, we uncover hidden patterns in transcriptional landscapes, empowering researchers to make robust biological interpretations.

Key Offerings:

• Bulk and single-cell RNA-seq analysis
   
• Differential gene expression and clustering
   
• Alternative splicing and isoform detection
   
• Gene regulatory network reconstruction
   
• AI/ML-driven expression pattern discovery
   

We provide deep insights into protein expression, modification, and interactions using mass spectrometry-based proteomics and computational modeling. Our services cover quantitative and qualitative proteomics, post-translational modification (PTM) analysis, protein-protein interaction mapping, and integrative multi-omics analysis. By combining proteomics data with genomics and transcriptomics, we reveal functional consequences of molecular changes at the protein level.

Key Offerings:

• Mass spectrometry-based protein identification and quantification
   
• PTM profiling (phosphorylation, ubiquitination, etc.)
   
• Protein-protein interaction and pathway mapping
   
• Proteogenomics and integrative omics analysis
   
• Functional annotation and biomarker discovery
   

Our gene-editing services support CRISPR/Cas, TALEN, and other genome-editing technologies, providing comprehensive computational analysis for on- and off-target effects. We design and evaluate guide RNAs, predict editing outcomes, and perform off-target nomination and validation using NGS data. With AI-assisted prediction models and integrative omics analysis, we help researchers and biotech companies optimize genome-editing experiments for accuracy, efficiency, and safety.

Key Offerings:

• Guide RNA design and optimization for CRISPR/Cas systems
   
• Off-target prediction and validation
   
• On-target editing efficiency analysis
   
• Large structural variant detection after editing
   
• Integration with transcriptomics and proteomics for functional impact assessment
   

We build robust predictive models that identify patterns and forecast biological behavior using multi-omics datasets.

Features:

• Disease risk prediction
   
• Biomarker and feature selection
   
• Phenotype and trait prediction
   
• Drug response forecasting
   
• Time-series modeling for biological processes

We develop deep learning architectures for complex biological data types including DNA, RNA, proteins, and images.

Specialties:

• CNNs and RNNs for sequence modeling
   
• Transformer-based architectures (BERT, DNA-BERT, Protein-BERT, etc.)
   
• Autoencoders for feature extraction
   
• GANs and diffusion models for generative biology
   
• 3D structure prediction and functional modeling