Developer of nucleic acid purification products employs data visualisation package to turn raw data into information its scientists can use
MathWorks reports that Agencourt Bioscience has deployed Matlab and its image processing toolbox.
Used by leading biotech firms, these tools are helping Agencourt engineers to analyse large volumes of DNA-related information quickly and efficiently. "We sought a powerful tool that could handle high volumes of data without requiring us to invest significant time developing and maintaining code," said Andrew Sheridan, bio-automation engineer, Agencourt Bioscience.
"Matlab has afforded us greater confidence in our algorithms and increased flexibility in their creation".
US-based Agencourt is a provider of genomic services and nucleic acid purification products in the life sciences market.
In one new research project, Agencourt is leveraging Matlab and its image processing toolbox to collect huge arrays of DNA-related data.
Matlab's powerful data visualisation tools and flexible programming environment allow this raw data to be turned quickly and effectively into information Agencourt's scientists can use.
As a result of working with MathWorks tools, Agencourt's engineers can develop applications rapidly and minimise the associated risks of time-consuming - and often costly - revisions in the future, says MathWorks.
As research turns into production, Matlab will aid engineers to scale their algorithms to extract massive amounts of DNA sequence at an industrial level.
" MathWorks is dedicated to helping customers across all industries handle large data sets more efficiently, and our tools are a natural and powerful fit for the bioscience and biotechnology communities," said Kristen Amuzzini.
"Agencourt's selection of Matlab is a testament to its robust data analysis and sequencing capabilities.
"In contrast to doing the same tasks in Java, scientists without a programming background can easily use Matlab to make adjustments and view data."
