Corporate Banner
Satellite Banner
Mass Spectrometry
Scientific Community
 
Become a Member | Sign in
Home>News>This Article
  News
Return

New Genedata Expressionist for MS Gains Increased Adoption in Metabolomics R&D

Published: Tuesday, December 17, 2013
Last Updated: Tuesday, December 17, 2013
Bookmark and Share
Version 8.0 brings new workflows for integrated processing of LC- and GC-MS data on vendor-agnostic platform.

Genedata has announced the release 8.0 of Genedata Expressionist® for Mass Spectrometry, which provides a single platform for the integrated analysis of metabolomics data.

To explore the vast chemical space of the metabolome, researchers use a variety of mass spectrometers, including various LC-MS and GC-MS instruments.

However, consolidating data from different instrument types and manufacturers can pose burdensome challenges. The new Genedata Expressionist for Mass Spectrometry addresses these challenges by combining all data types generated by diverse mass spectrometry instrument parks, and providing workflows for integrated analysis of CE-, IC-, LC- and GC-MS data.

Researchers can capitalize on simultaneous processing, multivariate statistics and sophisticated pathway analyses of unified data sets to achieve a more comprehensive and holistic view of the metabolome.

“The forthcoming challenges are on the side of the poly-omics integration in big meta-metabolomics studies, and the accurate data handling of increasing numbers of samples such as in personalized medicine or global environmental/microbiome metabolomics studies,” said Prof. Dr. Schmitt-Kopplin, director of analytical biochemistry research at the Helmholtz Center Munich.

Using Genedata Expressionist for Mass Spectrometry as a data analysis hub for metabolomics R&D, Prof. Dr. Schmitt-Kopplin noted, “We need algorithms that enable us to efficiently analyze several hundreds of samples in the shortest amount of time while providing high-quality results - and Genedata Expressionist enables all that and more.”

Innovative Algorithms and Interactive Visualization Drive New Insights
In recent years, Genedata Expressionist for Mass Spectrometry has found a rapidly growing user base in leading commercial organizations including pharmaceutical, agrochemical, breeding, and industrial biotechnology companies as well as academia. With interactive visualization tools, innovative peak picking algorithms and the ability to interrogate a large range of natural-substance databases, Genedata Expressionist helps to quickly identify biologically-relevant metabolites. Advanced data management capabilities keep experiment data organized and accessible.

“The ease of use, flexible automation, interactive visualizations and consistent quality of results would all be convincing enough on their own, but, it’s the scalability that really clinches it for us,” said Prof. Lothar Willmitzer, director of molecular physiology at the Max Planck Institute and co-founder of MetaSysX. “Expressionist is the only software solution that can simultaneously process the 1,000s of chromatograms we produce in our large-scale experiments.”

“The latest version of Genedata Expressionist for Mass Spectrometry underscores our commitment to meeting the specific needs of metabolomics research community,” commented Dr. Othmar Pfannes, CEO of Genedata. Our instrument vendor-independent enterprise expertise combined with our continuous investment in innovation will ensure that our customers remain at the cutting-edge of metabolomics research.”


Further Information

Join For Free

Access to this exclusive content is for Technology Networks Premium members only.

Join Technology Networks Premium for free access to:

  • Exclusive articles
  • Presentations from international conferences
  • Over 3,000+ scientific posters on ePosters
  • More than 4,500+ scientific videos on LabTube
  • 35 community eNewsletters


Sign In



Forgotten your details? Click Here
If you are not a member you can join here

*Please note: By logging into TechnologyNetworks.com you agree to accept the use of cookies. To find out more about the cookies we use and how to delete them, see our privacy policy.

Related Content

Genedata and Roche Extend MS-based Proteomics Biomarker Discovery Collaboration
Collaboration extends three-year license with Roche for the Refiner MS module of the Genedata Expressionist® biomarker discovery system.
Thursday, February 05, 2009
Genedata Joins Japanese Research Initiative for Metastatic Biomarkers
Genedata collaborates with Tokyo Medical University, AMR Inc., and Leica Microsystems in a proteomics research initiative.
Wednesday, November 14, 2007
Genedata Signs Agreement with the Fiehn Laboratory at UC Davis for Refiner MS and Analyst Software
The Fiehn Laboratory software platform for mass spectrometry-based metabolomics analyses to classify patient samples and identify biomarkers.
Friday, August 17, 2007
GeneData Introduces V2.0 of GeneData Impressionist™ for Proteomics

Tuesday, September 03, 2002
Scientific News
HIV Particles Used to Trap Intact Mammalian Protein Complexes
Belgian scientists from VIB and UGent developed Virotrap, a viral particle sorting approach for purifying protein complexes under native conditions.
Altered Metabolism of Four Compounds Drives Glioblastoma Growth
Findings suggest new ways to treat the malignancy, slow its progression and reveal its extent more precisely.
Coding and Computers Help Spot Methane, Explosives
Coded apertures improve and shrink mass spectrometers for field use.
Why Bearcats Smell Like Buttered Popcorn
Researchers pinpoint chemical compound that gives rare animal its popcorn-like scent.
UCSD Scientists Receive NIH Grant to Combat Antibiotic Resistance
Interdisciplinary program will use systems biology approaches to understand how antibiotics work in concert with patient’s immune system.
Virus Causing Tilapia Die-Offs Identified
Discovery of the virus causing Tilapia die-offs in Israel and Ecuador points the way to protecting a fish that feeds multitudes.
Novel Collagen Fingerprinting Identifies A Neanderthal
Study from the universities of Oxford and Manchester uses ZooMS technique to identify traces of an extinct human.
Hope for Combating Muscular Dystrophy
Decoding a sugar molecule and identifying a mechanism linking it to MS could help in the development of therapy for the disease.
Decoding Sugar Molecules Offers New Key For Combating Muscular Dystrophy
Japanese scientists find a rare sugar unit called ribitol 5-phosphate within the sugar molecules on the surface of muscle cells. Mutations in 3 genes linked to muscular dystrophy affect the creation of this sugar molecule.
A Vision for Precision Medicine
The University of Manchester and the University of Dundee partner to share disease screening data.
Scroll Up
Scroll Down
Skyscraper Banner

SELECTBIO Market Reports
Go to LabTube
Go to eposters
 
Access to the latest scientific news
Exclusive articles
Upload and share your posters on ePosters
Latest presentations and webinars
View a library of 1,800+ scientific and medical posters
3,000+ scientific and medical posters
A library of 2,500+ scientific videos on LabTube
4,500+ scientific videos
Close
Premium CrownJOIN TECHNOLOGY NETWORKS PREMIUM FOR FREE!