MetaboScape 2.0
6Pages

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Catalog excerpts

MetaboScape 2.0 - 1

• Quickly Discover Metabolite Biomarkers and Use Pathway Mapping to Set them in a Biological Context Innovation with Integrity

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MetaboScape 2.0 - 2

Providing a New Layer of Insight to Metabolomics Integrate your Metabolomics data analysis: • The growing number of detectable and identifiable substances increases the need for efficient data analysis and interpretation • Observing significant changes in abundances of unknowns is equally important to interpreting known target compounds • Metabolic pathways are essential to structure existing biochemical knowledge • Automated and confident compound identification is the basis for metabolic pathway mapping Linking experimental data to biology by pathway mapping in non-targeted metabolomics....

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MetaboScape 2.0 - 3

From Mass Spectrometric Data ... Hypothesis + experimental design Full scan high resolution LC-QTOF-MS/MS data Pathway mapping Prove or redesign hypothesis Set your results into a biological context Mapping of results to biochemical pathway maps completes the loop and can lead to validating a hypothesis in a targeted approach, or formulating a novel hypothesis.

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MetaboScape 2.0 - 4

Sophisticated bucketing, filtering, scaling and 0, normalization to match experimental designs ProfileAnalysis easily creates bucket tables of LC-MS data based on the extracted FMF compounds. ^ Retention time alignment as well as different filtering, normalization and scaling options complete the set of data preprocessing tools - a prerequisite for large metabolomics studies. Extract and combine all relevant information De-replication / Known ID Non-targeted data extraction The Find Molecular Features (FMF) algorithm in ProfileAnalysis™ automatically extracts and combines all relevant...

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MetaboScape 2.0 - 5

■38” Further Reading Bruker Poster Note: PN-26 MetaboScape: Linking HRAM QTOF Data to Biology - Increasing Arginine Production in C. glutamicum by Rational Strain Design and Discovery Metabolomics Bruker Poster Note: PN-27 Identification of the Biosynthetic Function of Genes in Plants and their Consequences in Insects - a Metabolite Profiling Approach Driven by Automatic Compound Identification Bruker Poster Note: PN-33 Boosting compound identification confidence by exploiting all HRAM spectral information integrating accurate mass, true isotopic pattern, in-source fragmentation, MS/MS...

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MetaboScape 2.0 - 6

In the past decade modern metabolomics has quickly grown and become widely adopted. The growing number of detectable substances increases the need for efficient processing: confident annotation of known metabolites must be automatic, and identification of unknowns should be seamless. Metabolic pathways are essential to structure existing biochemical knowledge. Quickly pinpoint and identify biomarkers in discovery metabolomics and use pathway mapping to set them in a biological context thereby turning LC-QTOF-MS/MS data into knowledge. Statistics oR ComPound LlLl ft*"1CT f,athway O...

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All Bruker Nano Surfaces catalogs and technical brochures

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