Bernhard Renard
Bernhard Renard
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Critical Assessment of Metagenome Interpretation [mdash] a benchmark of metagenomics software
A Sczyrba, P Hofmann, P Belmann, D Koslicki, S Janssen, J Dröge, ...
Nature methods 14 (11), 1063-1071, 2017
Critical Assessment of Metagenome Interpretation: the second round of challenges
F Meyer, A Fritz, ZL Deng, D Koslicki, TR Lesker, A Gurevich, G Robertson, ...
Nature methods 19 (4), 429-440, 2022
Individualized vaccines for cancer
U Sahin, S Kreiter, M Diken, J Diekmann, M Koslowski, C Britten, ...
US Patent 10,738,355, 2020
Docking small peptides remains a great challenge: an assessment using AutoDock Vina
R Rentzsch, BY Renard
Briefings in bioinformatics 16 (6), 1045-1056, 2015
Concise representation of mass spectrometry images by probabilistic latent semantic analysis
M Hanselmann, M Kirchner, BY Renard, ER Amstalden, K Glunde, ...
Analytical chemistry 80 (24), 9649-9658, 2008
Evaluating de novo sequencing in proteomics: already an accurate alternative to database-driven peptide identification?
T Muth, BY Renard
Briefings in bioinformatics 19 (5), 954-970, 2018
Toward digital staining using imaging mass spectrometry and random forests
M Hanselmann, U Köthe, M Kirchner, BY Renard, ER Amstalden, ...
Journal of proteome research 8 (7), 3558-3567, 2009
NITPICK: peak identification for mass spectrometry data
BY Renard, M Kirchner, H Steen, JAJ Steen, FA Hamprecht
BMC bioinformatics 9 (1), 1-16, 2008
Life cycle stage-resolved proteomic analysis of the excretome/secretome from Strongyloides ratti—identification of stage-specific proteases
H Soblik, AE Younis, M Mitreva, BY Renard, M Kirchner, F Geisinger, ...
Molecular & Cellular Proteomics 10 (12), M111. 010157, 2011
Binding partner switching on microtubules and aurora-B in the mitosis to cytokinesis transition
N Özlü, F Monigatti, BY Renard, CM Field, H Steen, TJ Mitchison, ...
Molecular & Cellular Proteomics 9 (2), 336-350, 2010
Metagenomic abundance estimation and diagnostic testing on species level
MS Lindner, BY Renard
Nucleic acids research 41 (1), e10-e10, 2013
Recursive feature elimination in random forest classification supports nanomaterial grouping
A Bahl, B Hellack, M Balas, A Dinischiotu, M Wiemann, J Brinkmann, ...
NanoImpact 15, 100179, 2019
Challenges and promise at the interface of metaproteomics and genomics: an overview of recent progress in metaproteogenomic data analysis
H Schiebenhoefer, T Van Den Bossche, S Fuchs, BY Renard, T Muth, ...
Expert review of proteomics 16 (5), 375-390, 2019
When less can yield more–computational preprocessing of MS/MS spectra for peptide identification
BY Renard, M Kirchner, F Monigatti, AR Ivanov, J Rappsilber, D Winter, ...
Proteomics 9 (21), 4978-4984, 2009
Metaproteomic data analysis at a glance: advances in computational microbial community proteomics
T Muth, BY Renard, L Martens
Expert Review of Proteomics 13 (8), 757-769, 2016
The proteome of the isolated Chlamydia trachomatis containing vacuole reveals a complex trafficking platform enriched for retromer components
L Aeberhard, S Banhart, M Fischer, N Jehmlich, L Rose, S Koch, M Laue, ...
PLoS Pathog 11 (6), e1004883, 2015
Parasitic nematodes exert antimicrobial activity and benefit from microbiota-driven support for host immune regulation
S Rausch, A Midha, M Kuhring, N Affinass, A Radonic, AA Kühl, A Bleich, ...
Frontiers in immunology 9, 2282, 2018
PaPrBaG: A machine learning approach for the detection of novel pathogens from NGS data
C Deneke, R Rentzsch, BY Renard
Scientific reports 7 (1), 39194, 2017
Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows
T Van Den Bossche, BJ Kunath, K Schallert, SS Schäpe, PE Abraham, ...
Nature Communications 12 (1), 1-15, 2021
Proteomic analysis of protein carbonylation: a useful tool to unravel nanoparticle toxicity mechanisms
MD Driessen, S Mues, A Vennemann, B Hellack, A Bannuscher, ...
Particle and fibre toxicology 12, 1-18, 2015
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