GeneSpring MS 1.1 allows import of data from 6410 triple quadrupole (QQQ) liquid chromatography/mass spectrometer (LC/MS), enabling users to analyse quantitative batch results with statistical tools
Agilent Technologies has announced the release of the latest version of its GeneSpring MS, an application for biomarker discovery using mass spectrometry data GeneSpring MS 1.1 supports data files in the exchange format mzXML, allowing customers using a variety of different mass spectrometry instruments and vendors to standardise their biomarker discovery workflow.
The software enables the rapid discovery of protein and metabolite biomarkers through the analysis of mass spectrometry data.
It provides a large number of statistical algorithms to compare the abundant information obtained from biomarker profiling workflows using time-of-flight (Tof), quadrupole Tof and QQQ MS systems.
Researchers can easily import, analyse and visualise gas chromatography/mass spectrometer and LC/MS data from large sample sets and complex experimental designs.
Using a comprehensive array of powerful statistical analyses, GeneSpring MS can profile proteins or small molecules associated with changes in cellular function, enabling the rapid discovery of biomarkers that may potentially detect disease or drug toxicity.
Traditional biomarker discovery techniques often ignore thousands of potentially valuable peaks because it is not feasible to identify all of them using time-consuming procedures such as MS/MS (a method for structure determination and analysis of molecules traditionally using two mass spectrometers in tandem).
GeneSpring MS 1.1 allows users to screen vastly larger numbers of potentially interesting biomarkers before they are identified.
This more powerful workflow is made simple using a graphical and intuitive analysis tool, simplifying the biomarker discovery workflow.
Further information and a free 30-day demonstration version of GeneSpring MS 1.1 are available by clicking on Special Offers at Agilent's metabolomics website and at its life sciences informatics page.