Monica Golumbeanu
Monica Golumbeanu
Swiss Tropical & Public Health Institute
Verified email at swisstph.ch - Homepage
Title
Cited by
Cited by
Year
Single-cell RNA-Seq reveals transcriptional heterogeneity in latent and reactivated HIV-infected cells
M Golumbeanu, S Cristinelli, S Rato, M Munoz, M Cavassini, ...
Cell reports 23 (4), 942-950, 2018
502018
Whole-genome mapping of 5′ RNA ends in bacteria by tagged sequencing: a comprehensive view in Enterococcus faecalis
N Innocenti, M Golumbeanu, AF d'Hérouël, C Lacoux, RA Bonnin, ...
Rna 21 (5), 1018-1030, 2015
362015
Exploring viral infection using single-cell sequencing
S Rato, M Golumbeanu, A Telenti, A Ciuffi
Virus research 239, 55-68, 2017
172017
BMix: probabilistic modeling of occurring substitutions in PAR-CLIP data
M Golumbeanu, P Mohammadi, N Beerenwinkel
Bioinformatics 32 (7), 976-983, 2016
132016
Proteo-transcriptomic dynamics of cellular response to HIV-1 infection
M Golumbeanu, S Desfarges, C Hernandez, M Quadroni, S Rato, ...
Scientific reports 9 (1), 1-12, 2019
122019
Bioinformatics and HIV latency
A Ciuffi, P Mohammadi, M Golumbeanu, J di Iulio, A Telenti
Current HIV/Aids Reports 12 (1), 97-106, 2015
122015
Machine learning approaches to calibrate individual-based infectious disease models
T Reiker, M Golumbeanu, A Shattock, L Burgert, TA Smith, S Filippi, ...
medRxiv, 2021
22021
Clustering time series gene expression data with TMixClust
M Golumbeanu, N Beerenwinkel
22018
Applying hidden markov models to rna-seq data
M Golumbeanu
KTH Royal Institute of Technology, 2013
12013
Model-informed target product profiles of long acting-injectables for use as seasonal malaria prevention
L Burgert, T Reiker, M Golumbeanu, JJ Möhrle, MA Penny
medRxiv, 2021
2021
Combining machine learning and mathematical models of disease dynamics to guide development of novel disease interventions
M Golumbeanu, G Yang, F Camponovo, EM Stuckey, N Hamon, M Mondy, ...
medRxiv, 2021.01. 05.21249283, 2021
2021
Single-cell RNA-Seq reveals transcriptional heterogeneity in latent and reactivated HIV-infected cells
M Golumbeanu, S Rato, S Cristinelli, M Munoz, M Cavassini, ...
Journal of Virus Eradication 3, 3, 2017
2017
Computational Methods for the Analysis of Gene Expression Regulation with Application to Hiv-1 Infection
M Golumbeanu
ETH Zurich, 2017
2017
Probabilistic modeling of occurring substitutions in PAR-CLIP data
M Golumbeanu, P Mohammadi, N Beerenwinkel
arXiv preprint arXiv:1504.01619, 2015
2015
Supplementary Material Whole genome mapping of 5íRNA ends in bacteria by tagged sequencing: A comprehensive view in Enterococcus faecalis
N Innocenti, M Golumbeanu, AF díHérouel, C Lacoux, RA Bonnin, ...
2014
Statistical Analysis of PAR-CLIP data
M Golumbeanu
2013
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