MeltDB 2.0-advances of the metabolomics software system
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چکیده
منابع مشابه
MeltDB 2.0–advances of the metabolomics software system
MOTIVATION The research area metabolomics achieved tremendous popularity and development in the last couple of years. Owing to its unique interdisciplinarity, it requires to combine knowledge from various scientific disciplines. Advances in the high-throughput technology and the consequently growing quality and quantity of data put new demands on applied analytical and computational methods. Ex...
متن کاملMeltDB: a software platform for the analysis and integration of metabolomics experiment data
MOTIVATION The recent advances in metabolomics have created the potential to measure the levels of hundreds of metabolites which are the end products of cellular regulatory processes. The automation of the sample acquisition and subsequent analysis in high-throughput instruments that are capable of measuring metabolites is posing a challenge on the necessary systematic storage and computational...
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Metabolomics is maturing as an experimental approach in nutrition science, and it is a useful analysis for revealing systems biology outcomes associated with changes in diet. A major goal of this review is to present the rapidly evolving body of scientific literature that seeks to reveal connections between an individual’s metabolic profile and experimentally manipulated or naturally varied die...
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چکیده ندارد.
15 صفحه اولLearning to Classify Organic and Conventional Wheat – A Machine Learning Driven Approach Using the MeltDB 2.0 Metabolomics Analysis Platform
We present results of our machine learning approach to the problem of classifying GC-MS data originating from wheat grains of different farming systems. The aim is to investigate the potential of learning algorithms to classify GC-MS data to be either from conventionally grown or from organically grown samples and considering different cultivars. The motivation of our work is rather obvious now...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2013
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btt414