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Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-9236-2_15
Abstract: Metabolomic data is the youngest of the high-throughput data types; however, it is potentially one of the most informative, as it provides a direct, quantitative biochemical phenotype. There are a number of ways in which…
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Keywords:
insights dynamic;
network states;
dynamic network;
biology ... See more keywords
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Published in 2021 at "Nature Chemical Biology"
DOI: 10.1038/s41589-020-00724-z
Abstract: Genomics and metabolomics are widely used to explore specialized metabolite diversity. The Paired Omics Data Platform is a community initiative to systematically document links between metabolome and (meta)genome data, aiding identification of natural product biosynthetic…
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Keywords:
community resource;
genomic metabolomic;
community;
resource paired ... See more keywords
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Published in 2021 at "Nature Protocols"
DOI: 10.1038/s41596-021-00636-9
Abstract: A typical output of a metabolomic experiment is a peak table corresponding to the intensity of measured signals. Peak table processing, an essential procedure in metabolomics, is characterized by its study dependency and combinatorial diversity.…
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Keywords:
peak table;
protocol;
metabolomic data;
data processing ... See more keywords
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Published in 2017 at "Schizophrenia Bulletin"
DOI: 10.1093/schbul/sbx022.002
Abstract: Reference EPFL-CONF-227784View record in Web of Science Record created on 2017-05-01, modified on 2017-05-01
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Keywords:
topological analyses;
markers early;
analyses metabolomic;
identify markers ... See more keywords
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Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12715
Abstract: Integrative analysis of high dimensional omics data is becoming increasingly popular. At the same time, incorporating known functional relationships among variables in analysis of omics data has been shown to help elucidate underlying mechanisms for…
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Keywords:
integrative analysis;
information;
transcriptomic metabolomic;
sparse canonical ... See more keywords
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Published in 2018 at "BMC Bioinformatics"
DOI: 10.1186/s12859-018-2085-6
Abstract: BackgroundIntegration of transcriptomic and metabolomic data improves functional interpretation of disease-related metabolomic phenotypes, and facilitates discovery of putative metabolite biomarkers and gene targets. For this reason, these data are increasingly collected in large (> 100 participants)…
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Keywords:
phenotype;
intlim;
gene metabolite;
user friendly ... See more keywords
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Published in 2020 at "BMC Bioinformatics"
DOI: 10.1186/s12859-020-3415-z
Abstract: Background New technologies have given rise to an abundance of -omics data, particularly metabolomic data. The scale of these data introduces new challenges for the interpretation and extraction of knowledge, requiring the development of innovative…
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Keywords:
network;
visualization;
time;
series ... See more keywords
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Published in 2022 at "Metabolites"
DOI: 10.3390/metabo12020135
Abstract: In mass spectrometry-based metabolomics, the differences in the analytical results from different laboratories/machines are an issue to be considered because various types of machines are used in each laboratory. Moreover, the analytical methods are unique…
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Keywords:
laboratory;
metabolomic data;
multiple laboratories;
laboratory differences ... See more keywords
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Published in 2022 at "Metabolites"
DOI: 10.3390/metabo12040304
Abstract: Feed efficiency is one of the keystones that could help make animal production less costly and more environmentally friendly. Residual feed intake (RFI) is a widely used criterion to measure feed efficiency by regressing intake…
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Keywords:
metabolomic data;
feed efficiency;
plasma metabolomic;
efficiency ... See more keywords
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Published in 2022 at "Metabolites"
DOI: 10.3390/metabo12040305
Abstract: This review presents an overview of the statistical methods on differential abundance (DA) analysis for mass spectrometry (MS)-based metabolomic data. MS has been widely used for metabolomic abundance profiling in biological samples. The high-throughput data…
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Keywords:
metabolomic data;
mass spectrometry;
analysis;
abundance analysis ... See more keywords
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Published in 2022 at "Metabolites"
DOI: 10.3390/metabo12050435
Abstract: In biological research domains, liquid chromatography–mass spectroscopy (LC-MS) has prevailed as the preferred technique for generating high quality metabolomic data. However, even with advanced instrumentation and established data acquisition protocols, technical errors are still routinely…
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Keywords:
metabolomic data;
metabolomic;
normalizing correcting;
technical errors ... See more keywords