Fernando Meyer
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Explore the profile of Fernando Meyer including associated specialties, affiliations and a list of published articles.
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Articles
28
Citations
698
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Recent Articles
1.
Hu K, Meyer F, Deng Z, Asgari E, Kuo T, Munch P, et al.
Brief Bioinform
. 2024 May;
25(3).
PMID: 38706320
The advent of rapid whole-genome sequencing has created new opportunities for computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data. Both rule-based and machine learning (ML) approaches have been...
2.
Jardim D, Silva A, Pompeo A, Sarkis A, Cardoso A, Sasse A, et al.
Clin Genitourin Cancer
. 2022 Oct;
21(2):e58-e69.
PMID: 36266221
Introduction: Non-metastatic, castration-resistant prostate cancer (nmCRPC) is an important clinical stage of prostate cancer, prior to morbidity and mortality from clinical metastases. In particular, the introduction of novel androgen-receptor signaling...
3.
Poussin C, Khachatryan L, Sierro N, Narsapuram V, Meyer F, Kaikala V, et al.
BMC Genomics
. 2022 Aug;
23(1):624.
PMID: 36042406
Background: Selection of optimal computational strategies for analyzing metagenomics data is a decisive step in determining the microbial composition of a sample, and this procedure is complex because of the...
4.
Cernava T, Rybakova D, Buscot F, Clavel T, McHardy A, Meyer F, et al.
Environ Microbiome
. 2022 Jun;
17(1):33.
PMID: 35751093
Background: Tremendous amounts of data generated from microbiome research studies during the last decades require not only standards for sampling and preparation of omics data but also clear concepts of...
5.
Meyer F, Fritz A, Deng Z, Koslicki D, Lesker T, Gurevich A, et al.
Nat Methods
. 2022 Apr;
19(4):429-440.
PMID: 35396482
Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II challenge engaged the community to...
6.
Miyasaki D, Senegaglia A, Moura S, Leitolis A, Capriglione L, Fracaro L, et al.
Int J Mol Sci
. 2022 Mar;
23(5).
PMID: 35269664
Chronic kidney disease (CKD) is characterized by structural abnormalities and the progressive loss of kidney function. Extracellular vesicles (EVs) from human umbilical cord tissue (hUCT)-derived mesenchymal stem cells (MSCs) and...
7.
Meyer F, Lesker T, Koslicki D, Fritz A, Gurevich A, Darling A, et al.
Nat Protoc
. 2021 Mar;
16(4):1785-1801.
PMID: 33649565
Computational methods are key in microbiome research, and obtaining a quantitative and unbiased performance estimate is important for method developers and applied researchers. For meaningful comparisons between methods, to identify...
8.
Carlos A, Nunes-Silva I, Zampolli H, Meyer F, Faria E, Tobias-Machado M
Surg Endosc
. 2019 Aug;
34(7):3027-3036.
PMID: 31463724
Introduction: Renal cell carcinoma (RCC) accounts for about 2-3% of all malignancies in adults and 90-95% of renal neoplasms. Curative treatment is eminently surgical, the first reports describing the laparoscopic...
9.
Meyer F, Bremges A, Belmann P, Janssen S, McHardy A, Koslicki D
Genome Biol
. 2019 Mar;
20(1):51.
PMID: 30832730
The explosive growth in taxonomic metagenome profiling methods over the past years has created a need for systematic comparisons using relevant performance criteria. The Open-community Profiling Assessment tooL (OPAL) implements...
10.
Meyer F, Hofmann P, Belmann P, Garrido-Oter R, Fritz A, Sczyrba A, et al.
Gigascience
. 2018 Jun;
7(6).
PMID: 29893851
Reconstructing the genomes of microbial community members is key to the interpretation of shotgun metagenome samples. Genome binning programs deconvolute reads or assembled contigs of such samples into individual bins....