HPC Enabled Data Analytics for High-Throughput High-Content Cellular Analysis

Ross A. Smith; Rhonda J. Vickery; Jack Harris; Sara Gharabaghi; Thomas Wischgoll; David Short; Robert Trevino; Steven A. Kawamoto; Thomas J. Lamkin; Kevin Schoen; Eric E. Bardes; Scott C. Tabar; Bruce J. Aronow

HPC Enabled Data Analytics for High-Throughput High-Content Cellular Analysis

Ross A. Smith, Rhonda J. Vickery, Jack Harris, Sara Gharabaghi, Thomas Wischgoll, David Short, Robert Trevino, Steven A. Kawamoto, Thomas J. Lamkin, Kevin Schoen, Eric E. Bardes, Scott C. Tabar, Bruce J. Aronow

Wright State University

Research output: Contribution to journal › Article › peer-review

Abstract

Biologists doing high-throughput high-content cellular analysis are generally not computer scientists or high performance computing (HPC) experts, and they want their workflow to support their science without having to be. We describe a new HPC enabled data analytics workflow with a web interface, HPC pipeline for analysis, and both traditional and new analytics tools to help them transition from a single workstation mode of operation to power HPC users. This allows the processing of multiple plates over a short period of time to ensure timely query and analysis to match potential countermeasures to individual responses.

Original language	American English
Journal	Default journal
State	Published - Jan 1 2016

Keywords

Analytics
High-Throughput High-Content Screening
Pipeline
Visualization

Disciplines

Computer Sciences
Engineering

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HPC Enabled Data Analytics for High-Throughput High-Content CelluFinal published version, 893 KBLicense: Unspecified

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title = "HPC Enabled Data Analytics for High-Throughput High-Content Cellular Analysis",

abstract = " Biologists doing high-throughput high-content cellular analysis are generally not computer scientists or high performance computing (HPC) experts, and they want their workflow to support their science without having to be. We describe a new HPC enabled data analytics workflow with a web interface, HPC pipeline for analysis, and both traditional and new analytics tools to help them transition from a single workstation mode of operation to power HPC users. This allows the processing of multiple plates over a short period of time to ensure timely query and analysis to match potential countermeasures to individual responses.",

keywords = "Analytics, High-Throughput High-Content Screening, Pipeline, Visualization",

author = "Smith, {Ross A.} and Vickery, {Rhonda J.} and Jack Harris and Sara Gharabaghi and Thomas Wischgoll and David Short and Robert Trevino and Kawamoto, {Steven A.} and Lamkin, {Thomas J.} and Kevin Schoen and Bardes, {Eric E.} and Tabar, {Scott C.} and Aronow, {Bruce J.}",

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T1 - HPC Enabled Data Analytics for High-Throughput High-Content Cellular Analysis

AU - Smith, Ross A.

AU - Vickery, Rhonda J.

AU - Harris, Jack

AU - Gharabaghi, Sara

AU - Wischgoll, Thomas

AU - Short, David

AU - Trevino, Robert

AU - Kawamoto, Steven A.

AU - Lamkin, Thomas J.

AU - Schoen, Kevin

AU - Bardes, Eric E.

AU - Tabar, Scott C.

AU - Aronow, Bruce J.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Biologists doing high-throughput high-content cellular analysis are generally not computer scientists or high performance computing (HPC) experts, and they want their workflow to support their science without having to be. We describe a new HPC enabled data analytics workflow with a web interface, HPC pipeline for analysis, and both traditional and new analytics tools to help them transition from a single workstation mode of operation to power HPC users. This allows the processing of multiple plates over a short period of time to ensure timely query and analysis to match potential countermeasures to individual responses.

AB - Biologists doing high-throughput high-content cellular analysis are generally not computer scientists or high performance computing (HPC) experts, and they want their workflow to support their science without having to be. We describe a new HPC enabled data analytics workflow with a web interface, HPC pipeline for analysis, and both traditional and new analytics tools to help them transition from a single workstation mode of operation to power HPC users. This allows the processing of multiple plates over a short period of time to ensure timely query and analysis to match potential countermeasures to individual responses.

KW - Analytics

KW - High-Throughput High-Content Screening

KW - Pipeline

KW - Visualization

UR - https://corescholar.libraries.wright.edu/cse/469

M3 - Article

JO - Default journal

JF - Default journal

ER -

HPC Enabled Data Analytics for High-Throughput High-Content Cellular Analysis

Abstract

Keywords

Disciplines

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