Daniel Petras

Dr. Daniel Petras

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 July 2019 in Nature Biotechnology
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Journal Article
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EBEvan Bolyen
Evan Bolyen
JRJai Ram Rideout
Jai Ram Rideout
MDMatthew R. Dillon
Matthew R. Dillon
NBNicholas A. Bokulich
Nicholas A. Bokulich
CAChristian C. Abnet
Christian C. Abnet
GCGreg Caporaso
Greg Caporaso

24 August 2020 in Nature Methods
Verified
Journal Article
Open access
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LNLouis-Félix Nothias
Louis-Félix Nothias
DPDaniel Petras
Daniel Petras
RSRobin Schmid
Robin Schmid
KDKai Dührkop
Kai Dührkop
Johannes RainerJohannes Rainer
Johannes Rainer
PDPieter C. Dorrestein
Pieter C. Dorrestein
Molecular networking has become a key method to visualize and annotate the chemical space in non-targeted mass spectrometry data. We present feature-based molecular networking (FBMN) as an analysis method in the Global Natural Products Social Molecular Networking (GNPS) infrastructure that builds on chromatographic feature detection and alignment tools. FBMN enables quantitative analysis and resolution of isomers, including from ion mobility spectrometry.

9 August 2019 in Nature Biotechnology
Verified
Journal Article
Closed access
EBEvan Bolyen
Evan Bolyen
JRJai Ram Rideout
Jai Ram Rideout
MDMatthew R. Dillon
Matthew R. Dillon
NBNicholas A. Bokulich
Nicholas A. Bokulich
CAChristian C. Abnet
Christian C. Abnet
GCGreg Caporaso
Greg Caporaso

18 August 2015 in Nature Chemical Biology
Verified
Journal Article
Open access
PDF file
MMMarnix H. Medema
Marnix H. Medema
RKRenzo Kottmann
Renzo Kottmann
PYPelin Yilmaz
Pelin Yilmaz
MCMatthew Cummings
Matthew Cummings
JBJohn B Biggins
John B Biggins
FGFrank Oliver Glöckner
Frank Oliver Glöckner
A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. To facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters, we propose the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard.

13 May 2020 in Nature Protocols
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Journal Article
Closed access
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AAAllegra T. Aron
Allegra T. Aron
EGEmily C. Gentry
Emily C. Gentry
KMKerry L. McPhail
Kerry L. McPhail
LNLouis-Félix Nothias
Louis-Félix Nothias
MNMélissa Nothias-Esposito
Mélissa Nothias-Esposito
PDPieter C. Dorrestein
Pieter C. Dorrestein

22 June 2021 in Nature Communications
Verified
Journal Article
Open access
PDF file
RSRobin Schmid
Robin Schmid
DPDaniel Petras
Daniel Petras
LNLouis-Félix Nothias
Louis-Félix Nothias
MWMingxun Wang
Mingxun Wang
AAAllegra T. Aron
Allegra T. Aron
PDPieter C. Dorrestein
Pieter C. Dorrestein
Molecular networking connects mass spectra of molecules based on the similarity of their fragmentation patterns. However, during ionization, molecules commonly form multiple ion species with different fragmentation behavior. As a result, the fragmentation spectra of these ion species often remain unconnected in tandem mass spectrometry-based molecular networks, leading to redundant and disconnected sub-networks of the same compound classes. To overcome this bottleneck, we develop Ion Identity Molecular Networking (IIMN) that integrates chromatographic peak shape correlation analysis into molecular networks to connect and collapse different ion species of the same molecule. The new feature relationships improve network connectivity for structurally related molecules, can be used to reveal unknown ion-ligand complexes, enhance annotation within molecular networks, and facilitate the expansion of spectral reference libraries. IIMN is integrated into various open source feature finding tools and the GNPS environment. Moreover, IIMN-based spectral libraries with a broad coverage of ion species are publicly available.