ComputeGenomics provides specialized, high-performance computing (HPC) platforms tailored for accelerating large-scale genomics data analysis. The platform utilizes CPU/GPU-based approaches to rapidly process complex genomic studies such as variant calling, genotyping, and single-cell analysis. They deliver integrated, on-premise hardware solutions with scalable storage and dedicated administrative support for secure data management.
Funding
Funding not disclosed
Founders
Product
Problem
The increasing volume of genomic data from high-throughput sequencing instruments presents significant challenges for data management and analysis, requiring substantial computational resources and specialized expertise. Identifying genetic variants, mutations, and other genomic features from this data is critical for understanding disease mechanisms and improving clinical outcomes, but traditional analysis methods can be time-consuming and costly.
Solution
ComputeGenomics offers a high-performance computing (HPC) platform and specialized bioinformatic pipelines designed to accelerate genomic data analysis for clinical, agricultural, and research applications. The platform leverages CPU/GPU-based approaches to reduce runtime and costs associated with analyzing large genomic datasets. ComputeGenomics provides dedicated pipelines for variant calling, genotyping, expression studies, GWAS, eQTL analysis, and plant and animal breeding genetics. Their solutions include the SMART-OneTM toolkit for clinical and research analysis and the AGRITM toolkit for agricultural genomics research.
Target Audience
ComputeGenomics serves researchers, clinicians, and agricultural professionals who require high-throughput genomic data analysis capabilities for applications such as identifying genetic variants, improving crop and livestock genetics, and studying the genetic basis of complex diseases.
Features
- Automated pipelines for analyzing next-generation sequencing data, including whole genome sequencing, whole exome sequencing, mitochondrial genome sequencing, and RNA sequencing
- Specialized pipelines for cancer genomics, whole genome to exome sequencing, and whole transcriptome to single cell analysis
- High-performance computing infrastructure optimized for genomic data analysis, leveraging CPU/GPU-based approaches
- Scale-out network-attached storage (NAS) systems with configurations ranging from 12 TB to 450 TB of usable storage
- Customizable genomics analysis platform tailored to specific HPC requirements
- One year of on-site hardware and software support, including direct access to storage administrators for integration, network connection, and data management