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André Wegner

dblp:129/3357 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0001-6023-1538ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
metabolomics
0.422016
MIA: non-targeted mass isotopolome analysis · Bioinform. 2016
NTFD - a stand-alone application for the non-targeted detection of stable isotope-labeled compounds in GC/MS data · Bioinform. 2013
Bioinformatics and computational biology › metabolomics
isotopomer distribution analysis
0.212016
MIA: non-targeted mass isotopolome analysis · Bioinform. 2016
Bioinformatics and computational biology › metabolomics
metabolic flux analysis
0.222016
NTFD - a stand-alone application for the non-targeted detection of stable isotope-labeled compounds in GC/MS data · Bioinform. 2013
MIA: non-targeted mass isotopolome analysis · Bioinform. 2016
Bioinformatics and computational biology › metabolomics
stable isotope labeling
0.112016
MIA: non-targeted mass isotopolome analysis · Bioinform. 2016

Methods — techniques the papers use, named apart from their topics

gas chromatography electron ionization mass spectrometry · 0.2mass isotopomer distribution analysis · 0.2
YearPublicationVenuePosition
2016 MIA: non-targeted mass isotopolome analysis
abstract
UNLABELLED: MIA detects and visualizes isotopic enrichment in gas chromatography electron ionization mass spectrometry (GC-EI-MS) datasets in a non-targeted manner. It provides an easy-to-use graphical user interface that allows for visual mass isotopomer distribution analysis across multiple datasets. MIA helps to reveal changes in metabolic fluxes, visualizes metabolic proximity of isotopically enriched compounds and shows the fate of the applied stable isotope labeled tracer. AVAILABILITY AND IMPLEMENTATION: Linux and Windows binaries, documentation, and sample data are freely available for download at http://massisotopolomeanalyzer.lu MIA is a stand-alone application implemented in C ++ and based on Qt5, NTFD and the MetaboliteDetector framework. CONTACT: [email protected].
Daniel Weindl, André Wegner, Karsten Hiller
Bioinform.2
2013 NTFD - a stand-alone application for the non-targeted detection of stable isotope-labeled compounds in GC/MS data
abstract
SUMMARY: Most current stable isotope-based methodologies are targeted and focus only on the well-described aspects of metabolic networks. Here, we present NTFD (non-targeted tracer fate detection), a software for the non-targeted analysis of all detectable compounds derived from a stable isotope-labeled tracer present in a GC/MS dataset. In contrast to traditional metabolic flux analysis approaches, NTFD does not depend on any a priori knowledge or library information. To obtain dynamic information on metabolic pathway activity, NTFD determines mass isotopomer distributions for all detected and labeled compounds. These data provide information on relative fluxes in a metabolic network. The graphical user interface allows users to import GC/MS data in netCDF format and export all information into a tab-separated format. AVAILABILITY: NTFD is C++- and Qt4-based, and it is freely available under an open-source license. Pre-compiled packages for the installation on Debian- and Redhat-based Linux distributions, as well as Windows operating systems, along with example data, are provided for download at http://ntfd.mit.edu/.
Karsten Hiller, André Wegner, Daniel Weindl, Thekla Cordes, Christian M. Metallo, Joanne K. Kelleher, Gregory Stephanopoulos
Bioinform.2