Provides an integrated platform for low-pass whole genome sequencing, combining assay development, scalable sequencing, and cloud-based data analytics to deliver cost-effective genomic insights. Enables applications in human, plant, and animal genomics, such as predicting disease risk, identifying genetic traits, and optimizing breeding strategies, while streamlining data processing and management for researchers and industry professionals.
Funding
$16M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
LCFounders
Product
Problem
Traditional whole genome sequencing is often cost-prohibitive, limiting its accessibility for large-scale genomic studies and applications. Managing and analyzing the resulting large datasets also presents a significant challenge for researchers and industry professionals.
Solution
Gencove offers an integrated platform for low-pass whole genome sequencing, combining assay development, scalable sequencing, and cloud-based data analytics. This approach reduces the cost of whole genome sequencing to be comparable to genotyping arrays, while still providing genome-wide insights. The platform streamlines data processing and management, allowing scientists to focus on biological questions rather than complex computational infrastructure. Gencove's solutions are applicable across various fields, including human, plant, and animal genomics, enabling applications such as predicting disease risk, identifying genetic traits, and optimizing breeding strategies.
Target Audience
Gencove's primary customers include researchers and industry professionals in human, plant, and animal genomics, such as those involved in population health screening, genome-wide association studies, and breeding programs.
Features
- Low-pass whole genome sequencing that reduces costs while maximizing information density.
- Explorer analysis cloud for hassle-free genomic data processing and querying.
- Polygenic risk score calculation and inherited disease detection for human genomics.
- Genome-wide association studies and rare variant identification.
- Ancestry identification from a set of reference populations.
- Parentage, relatedness, and breed identification by comparing genomic results against a reference sample.
- Trait introgression and genomic selection for plant and animal genomics.
- Customizable assay design for population health screening.