An Open-source Azure Solution for Scalable Genomics Workflows
We present an open-source Azure solution for running scalable genomics workflows. It benefits from state-of-art distributed workflow framework, container and cloud technologies and allows users to create a cluster that is scaled to suit their workload in minutes. We describe the design decisions, so...
Main Authors: | Yang-Turner, F, Gripper, L, Swann, J, Do, T, Foster, D, Volk, D, Ramanan, A, Robinson, M, Peto, T, Crook, D |
---|---|
Format: | Conference item |
Language: | English |
Published: |
IEEE
2018
|
Similar Items
-
Scalable Pathogen Pipeline Platform (SP^3): enabling unified genomic data analysis with elastic cloud computing
by: Yang-Turner, F, et al.
Published: (2019) -
Scalability and communication performance of HPC on Azure Cloud
by: Hanan A. Hassan, et al.
Published: (2016-07-01) -
Scalable workflows and reproducible data analysis for genomics
by: Strozzi, F, et al.
Published: (2019) -
Scalable Extraction of Big Macromolecular Data in Azure Data Lake Environment
by: Dariusz Mrozek, et al.
Published: (2019-01-01) -
The Bacteria Genome Pipeline (BAGEP): an automated, scalable workflow for bacteria genomes with Snakemake
by: Idowu B. Olawoye, et al.
Published: (2020-10-01)