Sold by: Mirarab Lab at UC San Diego
Open data
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Deployed on AWS
krepp is an alignment-free method for estimating distances and phylogenetic placement of individual reads to many thousands of reference genomes in a scalable manner using k-mers. This dataset includes k-mer-based indexes consisting of ultra-large reference genome sets that can be efficiently analyzed using krepp.
Overview
krepp is an alignment-free method for estimating distances and phylogenetic placement of individual reads to many thousands of reference genomes in a scalable manner using k-mers. This dataset includes k-mer-based indexes consisting of ultra-large reference genome sets that can be efficiently analyzed using krepp.
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
- This dataset contains genomic indexes for various reference datasets in binary format. Using krepp, you can perform distance estimation and phylogenetic placement with respect to these indexes.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::kreppref
- AWS region
- us-west-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://kreppref/
Resources
Vendor resources
Support
Managed By
Mirarab Lab at UC San Diego
How to cite
Reference Indexes for krepp was accessed on DATE from https://registry.opendata.aws/kreppref .
License
GPL-3.0 license. Use of the data should be cited in the usual way, following https://github.com/bo1929/krepp/tree/master?tab=readme-ov-file#citation .
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