Clinical Research & Reporting
Game-changing research: from
laboratory to clinic.
NGS data is immensely powerful for advancing personalized medicine, but with each genome, raw data alone is up to 100
gb per sample, multiplied over 1000s of samples!
Having the right tools to analyze and make sense of the data is key to advancing medicine.
Basepair helps physicians and lab directors meet this challenge. Our scalable NGS analysis takes only an hour or less. The customizable reporting tools let you slice and dice the data to quickly identify genomic disease markers and map the course of treatment.
Simplified NGS data analysis and reporting
Higher quality more accessible data leads to deeper insight. Basepair works with physicians to fully automate patient NGS data analysis. Our cloud-native solution scales to handle 1,000+ parallel analysis and integrates directly with internal storage systems and cloud storage (S3, Google Drive, Box, etc.)
Basepair has the proven technology and expertise to successfully help organizations transform NGS-based reporting and advance innovation forward.
With Basepair, you can automatically analyze thousands of samples in hours. The end result? Quick turnaround and timely availability of actionable information.
Analyseand share NGS data in hours not weeks or months
- Trusted by top research universities and publications
- Easy to use, get started in minutes!
- Flexible, scalable and powerful enterprise-class software
- Customized NGS analysis and reporting
- Ready reports and interactive databases for further analysis
Web based, so there is no software to install, manage and upgrade.
- Your samples and results are available online 24-7.
- API-level controls for all tasks, such as to add new samples, run analysis and download results.
Types of Analysis
An overview of Basepair workflows for NGS applications.
See Basepair powered NGS research in peer-reviewed journals.
The bread and butter of our platform
Trusted by top research hospitals worldwide
Read the latest from our blog
When auditing goes wrong Is your genomics team keeping track of the open source tools it’s using? What about software version numbers and the parameters being set? Genome reference files, usage logs, the custom scripts bioinformaticians are deploying? If you’re not...read more
When Dr. Omar Abdel-Wahab at Memorial Sloan Kettering Cancer Center decided to undertake a project exploring the molecular mechanisms of ASXL2 - a frequently mutated gene in acute myeloid leukemia patients with the AML1-ETO fusion oncoprotein - he had three choices:...read more
Audits are probably the most dreaded aspect of NGS data analysis, and like specters, they come in many forms to haunt you. You might need to publish results from several years back, only to realize that the open source tools you used have dramatically changed, forcing...read more