Robert Starke

Dr. Robert Starke

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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26 August 2016 in Molecular Ecology
Verified
Journal Article
Closed access
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FBFelipe Bastida
Felipe Bastida
ITIrene F. Torres
Irene F. Torres
JMJosé L. Moreno
José L. Moreno
PBPetr Baldrian
Petr Baldrian
SOSara Ondoño
Sara Ondoño
Nico JehmlichNico Jehmlich
Nico Jehmlich

14 June 2017 in Global Change Biology
Verified
Journal Article
Closed access
PDF file
FBFelipe Bastida
Felipe Bastida
ITIrene F. Torres
Irene F. Torres
MAManuela Andrés‐Abellán
Manuela Andrés‐Abellán
PBPetr Baldrian
Petr Baldrian
RLRubén López‐Mondéjar
Rubén López‐Mondéjar
Nico JehmlichNico Jehmlich
Nico Jehmlich

1 May 2016 in Soil Biology and Biochemistry
Verified
Journal Article
Closed access
RSRobert Starke
Robert Starke
RKRené Kermer
René Kermer
LULynn Ullmann-Zeunert
Lynn Ullmann-Zeunert
IBIan T. Baldwin
Ian T. Baldwin
Jana SeifertJana Seifert
Jana Seifert
Nico JehmlichNico Jehmlich
Nico Jehmlich

29 August 2020 in Microbial Ecology
Verified
Journal Article
Open access
PDF file
RSRobert Starke
Robert Starke
VPVictor Satler Pylro
Victor Satler Pylro
DMDaniel Kumazawa Morais
Daniel Kumazawa Morais
Sequencing 16S rRNA gene amplicons is the gold standard to uncover the composition of prokaryotic communities. The presence of multiple copies of this gene makes the community abundance data distorted and gene copy normalization (GCN) necessary for correction. Even though GCN of 16S data provided a picture closer to the metagenome before, it should also be compared with communities of known composition due to the fact that library preparation is prone to methodological biases. Here, we process 16S rRNA gene amplicon data from eleven simple mock communities with DADA2 and estimate the impact of GCN. In all cases, the mock community composition derived from the 16S sequencing differs from those expected, and GCN fails to improve the classification for most of the analysed communities. Our approach provides empirical evidence that GCN does not improve the 16S target sequencing analyses in real scenarios. We therefore question the use of GCN for metataxonomic surveys until a more comprehensive catalogue of copy numbers becomes available.


1 January 2017 in Journal of Proteomics
Verified
Journal Article
Closed access
RSRobert Starke
Robert Starke
MMMartina Müller
Martina Müller
MGMichael Gaspar
Michael Gaspar
MMManja Marz
Manja Marz
KKKirsten Küsel
Kirsten Küsel
Nico JehmlichNico Jehmlich
Nico Jehmlich