RareLens is a new platform designed to help scientists identify the cause of rare diseases by analyzing a patient's genome and clinical phenotype. The platform uses a Nextflow pipeline to annotate variants, a FastAPI service to rank them against phenotype data, and a LightGBM model for further analysis. It offers multiple deployment options on Google Cloud, including a serverless option that idles at a low cost and a Kubernetes-based solution for more complex needs. The project emphasizes the use of open-source tools and publicly available data, with no patient data being processed. AI
IMPACT This platform could accelerate rare disease research by improving the efficiency of variant analysis.
RANK_REASON The item describes a technical platform and its implementation details, rather than a new model release or significant industry event.
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- argoCD
- Argo Events
- Argo Workflows
- BCFtools/RoH: a hidden Markov model approach for detecting autozygosity from next-generation sequencing data
- Ensembl VEP
- FastAPI
- Google.Cloud
- Human Phenotype Ontology
- LightGBM
- mlflow
- Nextflow
- PostgreSQL
- RareLens
- SvelteKit
- Terraform
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