An estimate of the total number of true human miRNAs J Alles, T Fehlmann, U Fischer, C Backes, V Galata, M Minet, M Hart, ... Nucleic acids research 47 (7), 3353-3364, 2019 | 607 | 2019 |
PLSDB: a resource of complete bacterial plasmids V Galata, T Fehlmann, C Backes, A Keller Nucleic acids research 47 (D1), D195-D202, 2019 | 392 | 2019 |
PathoFact: a pipeline for the prediction of virulence factors and antimicrobial resistance genes in metagenomic data L De Nies, S Lopes, SB Busi, V Galata, A Heintz-Buschart, CC Laczny, ... Microbiome 9 (1), 1-14, 2021 | 130 | 2021 |
Evaluating the use of circulating microRNA profiles for lung cancer detection in symptomatic patients T Fehlmann, M Kahraman, N Ludwig, C Backes, V Galata, V Keller, ... JAMA oncology 6 (5), 714-723, 2020 | 117 | 2020 |
miRNAs can be generally associated with human pathologies as exemplified for miR-144 A Keller, P Leidinger, B Vogel, C Backes, A ElSharawy, V Galata, ... BMC medicine 12, 1-12, 2014 | 94 | 2014 |
BusyBee Web: metagenomic data analysis by bootstrapped supervised binning and annotation CC Laczny, C Kiefer, V Galata, T Fehlmann, C Backes, A Keller Nucleic acids research 45 (W1), W171-W179, 2017 | 90 | 2017 |
High-throughput qRT-PCR validation of blood microRNAs in non-small cell lung cancer P Leidinger, T Brefort, C Backes, M Krapp, V Galata, M Beier, J Kohlhaas, ... Oncotarget 7 (4), 4611, 2015 | 80 | 2015 |
What makes a blood cell based miRNA expression pattern disease specific?-A miRNome analysis of blood cell subsets in lung cancer patients and healthy controls P Leidinger, C Backes, IN Dahmke, V Galata, H Huwer, I Stehle, R Bals, ... Oncotarget 5 (19), 9484, 2014 | 73 | 2014 |
Effects of resistant starch on symptoms, fecal markers, and gut microbiota in Parkinson’s disease—the RESISTA-PD trial A Becker, GP Schmartz, L Gröger, N Grammes, V Galata, H Philippeit, ... Genomics, Proteomics & Bioinformatics 20 (2), 274-287, 2022 | 69 | 2022 |
Prioritizing and selecting likely novel miRNAs from NGS data C Backes, B Meder, M Hart, N Ludwig, P Leidinger, B Vogel, V Galata, ... Nucleic acids research 44 (6), e53-e53, 2016 | 66 | 2016 |
Validating Alzheimer's disease micro RNAs using next-generation sequencing A Keller, C Backes, J Haas, P Leidinger, W Maetzler, C Deuschle, D Berg, ... Alzheimer's & Dementia 12 (5), 565-576, 2016 | 65 | 2016 |
Posttranscriptional deregulation of signaling pathways in meningioma subtypes by differential expression of miRNAs N Ludwig, YJ Kim, SC Mueller, C Backes, TV Werner, V Galata, ... Neuro-oncology 17 (9), 1250-1260, 2015 | 43 | 2015 |
Longitudinal study on circulating miRNAs in patients after lung cancer resection P Leidinger, V Galata, C Backes, C Stähler, S Rheinheimer, H Huwer, ... Oncotarget 6 (18), 16674, 2015 | 33 | 2015 |
The composition of the pulmonary microbiota in sarcoidosis–an observational study A Becker, G Vella, V Galata, K Rentz, C Beisswenger, C Herr, J Walter, ... Respiratory Research 20, 1-9, 2019 | 32 | 2019 |
MicroRNA signature in spermatozoa and seminal plasma of proven fertile men and in testicular tissue of men with obstructive azoospermia M Abu‐Halima, V Galata, C Backes, A Keller, M Hammadeh, E Meese Andrologia 52 (2), e13503, 2020 | 26 | 2020 |
Assessing the heterogeneity of in silico plasmid predictions based on whole-genome-sequenced clinical isolates CC Laczny, V Galata, A Plum, AE Posch, A Keller Briefings in bioinformatics 20 (3), 857-865, 2019 | 26 | 2019 |
miRNAs in ancient tissue specimens of the Tyrolean Iceman A Keller, S Kreis, P Leidinger, F Maixner, N Ludwig, C Backes, V Galata, ... Molecular biology and evolution 34 (4), 793-801, 2017 | 25 | 2017 |
Influence of next-generation sequencing and storage conditions on miRNA patterns generated from PAXgene blood C Backes, P Leidinger, G Altmann, M Wuerstle, B Meder, V Galata, ... Analytical chemistry 87 (17), 8910-8916, 2015 | 24 | 2015 |
Altered infective competence of the human gut microbiome in COVID-19 L de Nies, V Galata, C Martin-Gallausiaux, M Despotovic, SB Busi, ... Microbiome 11 (1), 46, 2023 | 21 | 2023 |
PathoFact: a pipeline for the prediction of virulence factors and antimicrobial resistance genes in metagenomic data. Microbiome 9: 49 L De Nies, S Lopes, SB Busi, V Galata, A Heintz-Buschart, CC Laczny, ... | 21 | 2021 |