Open data
|
Deployed on AWS
Reference data bundle for analyzing HiFi human whole genome
sequencing data
Overview
Reference data bundle for analyzing HiFi human whole genome sequencing data
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- HiFi Human WGS Reference data
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::pacbio-hifi-human-wgs-reference
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://pacbio-hifi-human-wgs-reference/
Resources
Vendor resources
Support
Managed By
How to cite
Reference data for HiFi human WGS was accessed on DATE from https://registry.opendata.aws/pacbio-human-wgs-reference .
License
Similar products
SoftServe builds production agent solutions on Amazon Bedrock AgentCore for — multi-agent architectures, secure tool integration, and compliance-aligned deployment on AWS.
Unstructured Financial Docs Block Business Insight:
Financial institutions are overwhelmed by unstructured document workflows across operations, compliance, and customer interactions. Processing loan applications, contracts, statements, and regulatory filings is time-consuming, error-prone, and resource-intensive. Without automation, these documents remain underutilized. This slows decisions, increases operational risk, and drives up costs in a heavily regulated environment.
This solution extracts closed region of signature and validate it with original signature using Structural Similarity Index.
Llama 3.3 Nemotron Super 49B V1 is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct with reasoning capabilities.