ProfileAnalysis 2.0 - Statistical Processing of LC-MS Data, Identification of Possible Biomarkers in Metabolomics

Brochure

Metabolomics Studies

270927

UHR-TOF, OTOF

2010

BDAL 270927

Abstract

Statistics Made Easy in ProfileAnalysis

Nowadays, profiling complex samples using high-resolution chromatography and
mass spectrometry is a routine task in many metabolomics laboratories.
An integral part of the process is the application of statistical methods to quickly
pinpoint relevant information and generate knowledge. The full benefits of highresolution
separation techniques such as CE, GC or UHPLC can only be exploited
in combination with the uncompromised performance of ultra-fast time-of-flight
mass analyzers such as micrOTOF-Q II and maXis.
ProfileAnalysis enables smooth and easy analysis using fully unsupervised
methods like Principal Component Analysis (PCA) and supervised methods such
as student`s t-test. It provides a complete set of tools for data pre-processing,
in-depth statistical analysis, identification and feedback experiments.
ProfileAnalysis has been designed to give beginners a head start in
metabolomics and also to meet the needs of expert users. 

Related Products

ProfileAnalysis
micrOTOF-Q II
maXis 4G
Targeted Metabolomics
Untargeted Metabolomics

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