Case Studies Institute of Cancer Research - Case Study Part I: Beyond the visual: How Vortex speeds up data processing

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	Institute of Cancer Research - Case Study Part I: Beyond the visual: How Vortex speeds up data processing

Institute of Cancer Research - Case Study Part I: Beyond the visual: How Vortex speeds up data processing

Technology Category	Analytics & Modeling - Data Mining Analytics & Modeling - Real Time Analytics
Applicable Industries	Healthcare & Hospitals Life Sciences
Applicable Functions	Product Research & Development Quality Assurance
Use Cases	Predictive Maintenance
Services	Data Science Services Software Design & Engineering Services
Challenge	Before the deployment of Vortex, scientists at The Cancer Therapeutics Unit used an Excel spreadsheet to copy and paste raw values from Thermal Shift Assay readers output before evaluating the plots to set the minimum/maximum. They would then copy and paste a subset of that data into GraphPad Prism, before copying the results back into the Excel spreadsheet for further analysis. This process was laborious and prone to errors due to manual data entry. The half a day taken to process that data had become a bottleneck for the Unit. The solution was to define and implement a standardised method that would eliminate errors and streamline the workflow. Read More
About Customer	The Institute of Cancer Research (ICR) is a leading research institution in the United Kingdom. The Cancer Therapeutics Unit at ICR is dedicated to the development of new treatments for cancer. The unit employs a number of scientists who work on various aspects of cancer research, including the analysis of data from Thermal Shift Assays. These assays are used to measure the thermal stability of proteins and are an important tool in the development of new cancer drugs. However, the process of analysing the data from these assays was time-consuming and prone to errors, leading to a need for a more efficient and reliable solution. Read More
Solution	The solution was to deploy Vortex, a data visualisation and analysis solution from Dotmatics. Vortex streamlined the process by handling each step of the previous process within one program, reducing the processing time from half a day to less than an hour. The software also eliminated the need for manual data entry, reducing the risk of errors. In addition to Vortex, ICR also integrated R, an open source statistical program, to further expand the software's functionalities. The Python scripting functionality in Vortex ties together Vortex and R, and built-in features allowed for quick development of the process and ease of distribution of the resulting analysis procedures across the team. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Data Mining

Analytics & Modeling - Real Time Analytics

Applicable Industries

Healthcare & Hospitals

Life Sciences

Applicable Functions

Product Research & Development

Quality Assurance

Use Cases

Predictive Maintenance

Services

Data Science Services

Software Design & Engineering Services

Challenge

Before the deployment of Vortex, scientists at The Cancer Therapeutics Unit used an Excel spreadsheet to copy and paste raw values from Thermal Shift Assay readers output before evaluating the plots to set the minimum/maximum. They would then copy and paste a subset of that data into GraphPad Prism, before copying the results back into the Excel spreadsheet for further analysis. This process was laborious and prone to errors due to manual data entry. The half a day taken to process that data had become a bottleneck for the Unit. The solution was to define and implement a standardised method that would eliminate errors and streamline the workflow.

About Customer

The Institute of Cancer Research (ICR) is a leading research institution in the United Kingdom. The Cancer Therapeutics Unit at ICR is dedicated to the development of new treatments for cancer. The unit employs a number of scientists who work on various aspects of cancer research, including the analysis of data from Thermal Shift Assays. These assays are used to measure the thermal stability of proteins and are an important tool in the development of new cancer drugs. However, the process of analysing the data from these assays was time-consuming and prone to errors, leading to a need for a more efficient and reliable solution.

Solution

The solution was to deploy Vortex, a data visualisation and analysis solution from Dotmatics. Vortex streamlined the process by handling each step of the previous process within one program, reducing the processing time from half a day to less than an hour. The software also eliminated the need for manual data entry, reducing the risk of errors. In addition to Vortex, ICR also integrated R, an open source statistical program, to further expand the software's functionalities. The Python scripting functionality in Vortex ties together Vortex and R, and built-in features allowed for quick development of the process and ease of distribution of the resulting analysis procedures across the team.

Impact #1	Reduced processing time for a Thermal Shift Assay from half a day to less than one hour.
Impact #2	Eliminated the need for manual data entry, reducing the risk of errors.
Impact #3	Streamlined the workflow, improving efficiency and productivity.

Impact #1

Reduced processing time for a Thermal Shift Assay from half a day to less than one hour.

Impact #2

Eliminated the need for manual data entry, reducing the risk of errors.

Impact #3

Streamlined the workflow, improving efficiency and productivity.

Benefit #1	Reduced processing time by over 80%
Benefit #2	Eliminated manual data entry, reducing the risk of errors by an unknown percentage.

Benefit #1

Reduced processing time by over 80%

Benefit #2

Eliminated manual data entry, reducing the risk of errors by an unknown percentage.

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Overview

Institute of Cancer Research - Case Study Part I: Beyond the visual: How Vortex speeds up data processing

Operational Impact

Quantitative Benefit