Genomics & Bioinformatics
Process massive genomic datasets with optimized pipelines for sequencing analysis, variant calling, and multi-omics integration. Scale from single samples to population-level studies.
Complete Genomics Platform
From raw sequencing data to actionable insights, our platform handles every step.
Whole Genome Sequencing
Process WGS data at scale with optimized pipelines for alignment, variant calling, and annotation. Support for BWA, GATK, and DeepVariant.
RNA-seq & Single-Cell Analysis
Analyze transcriptomic data with GPU-accelerated tools. Support for STAR, Salmon, Seurat, and Scanpy for single-cell workflows.
Multi-Omics Integration
Integrate genomics, transcriptomics, proteomics, and metabolomics data for comprehensive biological insights.
Population Genetics
Large-scale population studies with tools for GWAS, PRS calculation, and ancestry analysis across diverse cohorts.
Pre-Built Analysis Pipelines
Production-ready pipelines optimized for GPU acceleration and validated for accuracy.
WGS Pipeline
Tools: BWA-MEM2, GATK4, DeepVariant
RNA-seq Pipeline
Tools: STAR, featureCounts, DESeq2
Single-Cell Pipeline
Tools: Cell Ranger, Seurat, Scanpy
Variant Annotation
Tools: VEP, ANNOVAR, ClinVar
Support for All Data Formats
Import and export data in all standard genomics formats with automatic validation and quality control.
- FASTQ, BAM, CRAM sequence files
- VCF, gVCF variant files
- BED, GTF, GFF annotation files
- HDF5 for single-cell data
- Parquet for large-scale analytics