Orangenomix VEP - Variant Annotation on AWS Batch

Orangenomix VEP delivers fast, scalable Variant Consequence annotations for your VCF files - without the complexity of managing reference data, storage, or compute infrastructure. Built on the trusted open-source Ensembl Variant Effect Predictor (VEP), Orangenomix VEP eliminates the barriers that make running VEP difficult and expensive.

Running the Ensembl Variant Effect Predictor on your own typically requires downloading and maintaining 20 to 30 GB of reference data. Teams must provision compute resources, manage storage, keep variant databases up to date, and troubleshoot configuration issues. This overhead slows down research timelines and drives up costs, especially when processing large-scale genomic datasets.

Orangenomix VEP handles all of the setup, configuration, and infrastructure management so your team can focus on interpreting results rather than wrestling with tooling.

Key outcomes you can expect:

• Results in minutes, not hours - Feed your VCF files directly from Amazon S3 and start receiving Variant Consequence annotations quickly, with no manual provisioning required.

• Always up-to-date variant databases - Access the latest reference data automatically, without downloading or storing tens of gigabytes of files on your own infrastructure.

• Effortless scalability with AWS Batch - Process large genomic datasets at scale using AWS Batch, which dynamically provisions the compute resources you need and releases them when the job is done.

• No storage or compute management - Eliminate the operational burden of maintaining reference data storage and compute clusters. Orangenomix VEP takes care of provisioning and teardown.

• Cost-effective variant annotation - Run Variant Effect Prediction in the most cost-effective way on AWS, paying only for the resources your analysis actually consumes.

Orangenomix VEP is designed to work natively with AWS services:

• Amazon S3 - Read input VCF files and write annotated results directly to your S3 buckets.
• AWS Batch - Automatically scale compute resources to match the size and complexity of your dataset.

This tight integration means there is no need to move data between platforms or configure complex pipelines. Your existing S3-based genomics workflows connect directly to Orangenomix VEP.

Orangenomix VEP is built for teams in healthcare and life sciences, bioinformatics, and data analytics who need reliable, scalable variant annotation:

• Genomics researchers analyzing whole-genome or whole-exome sequencing data
• Bioinformatics teams building or maintaining variant analysis pipelines
• Clinical genomics groups requiring consistent, up-to-date variant annotations
• Data science teams working with large-scale population genomics datasets

With Orangenomix VEP, there is no complex installation or configuration process. Simply point the tool at your VCF files in Amazon S3, and the platform handles the rest - from provisioning compute through AWS Batch to delivering annotated results back to your S3 bucket. Start generating Variant Consequence annotations in minutes.