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Related Experiment Video

Updated: Aug 5, 2025

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

ElasticBLAST: accelerating sequence search via cloud computing.

Christiam Camacho¹, Grzegorz M Boratyn¹, Victor Joukov¹

¹National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD, 20894, USA.

BMC Bioinformatics

|March 26, 2023

Summary

This summary is machine-generated.

ElasticBLAST is a cloud-native application for performing Basic Local Alignment Search Tool (BLAST) alignments. It efficiently handles numerous queries on the cloud, simplifying bioinformatics tasks.

Keywords:

AWS Batch Alignment BLAST Cloud computing Kubernetes

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Area of Science:

Bioinformatics
Computational Biology
Cloud Computing

Background:

Biomedical researchers rely on BLAST alignments for sequence categorization.
Cloud computing offers scalable computation and data storage for bioinformatics tasks.
Cloud platforms facilitate collaboration among researchers.

Purpose of the Study:

Introduce ElasticBLAST, a cloud-native application for BLAST alignments.
Enable efficient and scalable BLAST searches in the cloud.
Lower the barrier for bioinformaticians to utilize cloud resources.

Main Methods:

Developed a cloud-native application, ElasticBLAST.
Utilized cloud-native orchestration tools for resource management.
Supported on Amazon Web Services and Google Cloud Platform.
Enabled searching user-provided or NCBI BLAST databases.

Main Results:

ElasticBLAST handles variable query loads, from few to thousands.
Scales searches across thousands of virtual CPUs.
Automatically deletes resources post-completion.
Supports both user-provided and NCBI databases.

Conclusions:

ElasticBLAST efficiently performs cloud-based BLAST searches.
Demonstrated utility through two example use cases.
Abstracts cloud complexity, making cloud adoption easier for users.