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Valentina Boeva
Valentina Boeva
Assistant Prof., ETH Zürich, Department of Computer Science
Verified email at inf.ethz.ch - Homepage
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Cited by
Year
Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing data
V Boeva, T Popova, K Bleakley, P Chiche, J Cappo, G Schleiermacher, ...
Bioinformatics 28 (3), 423-425, 2012
9742012
Heterogeneity of neuroblastoma cell identity defined by transcriptional circuitries
V Boeva, C Louis-Brennetot, A Peltier, S Durand, C Pierre-Eugène, ...
Nature genetics 49 (9), 1408, 2017
4402017
Computational pan-genomics: status, promises and challenges
Computational Pan-Genomics Consortium
Briefings in Bioinformatics, bbw089, 2016
3512016
Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization
V Boeva, A Zinovyev, K Bleakley, JP Vert, I Janoueix-Lerosey, O Delattre, ...
Bioinformatics 27 (2), 268-269, 2011
3132011
Jarid2 Is Implicated in the Initial Xist-Induced Targeting of PRC2 to the Inactive X Chromosome
ST da Rocha, V Boeva, M Escamilla-Del-Arenal, K Ancelin, C Granier, ...
Molecular Cell 53 (2), 301-316, 2014
2882014
SVDetect: a tool to identify genomic structural variations from paired-end and mate-pair sequencing data
B Zeitouni, V Boeva, I Janoueix-Lerosey, S Loeillet, P Legoix-Né, ...
Bioinformatics 26 (15), 1895-1896, 2010
2502010
The oncogenic EWS-FLI1 protein binds in vivo GGAA microsatellite sequences with potential transcriptional activation function
N Guillon, F Tirode, V Boeva, A Zynovyev, E Barillot, O Delattre
PLoS One 4 (3), e4932, 2009
2262009
Chimeric EWSR1-FLI1 regulates the Ewing sarcoma susceptibility gene EGR2 via a GGAA microsatellite
TGP Grünewald, V Bernard, P Gilardi-Hebenstreit, V Raynal, D Surdez, ...
Nature genetics 47 (9), 1073-1078, 2015
1932015
Deep and wide digging for binding motifs in ChIP-Seq data
IV Kulakovskiy, VA Boeva, AV Favorov, VJ Makeev
Bioinformatics 26 (20), 2622-2623, 2010
1862010
Analysis of genomic sequence motifs for deciphering transcription factor binding and transcriptional regulation in eukaryotic cells
V Boeva
Frontiers in genetics 7, 24, 2016
1792016
Changes in correlation between promoter methylation and gene expression in cancer
M Moarii, V Boeva, JP Vert, F Reyal
BMC genomics 16 (1), 873, 2015
1722015
Transcriptional Programs Define Intratumoral Heterogeneity of Ewing Sarcoma at Single-Cell Resolution
MM Aynaud, O Mirabeau, N Gruel, S Grossetête, V Boeva, S Durand, ...
Cell Reports 30 (6), 1767-1779. e6, 2020
1342020
Multi-factor data normalization enables the detection of copy number aberrations in amplicon sequencing data
V Boeva, T Popova, M Lienard, S Toffoli, M Kamal, C Le Tourneau, ...
Bioinformatics 30 (24), 3443-3450, 2014
1302014
Ovarian cancers harboring inactivating mutations in CDK12 display a distinct genomic instability pattern characterized by large tandem duplications
T Popova, E Manié, V Boeva, A Battistella, O Goundiam, NK Smith, ...
Cancer research 76 (7), 1882-1891, 2016
1242016
Short fuzzy tandem repeats in genomic sequences, identification, and possible role in regulation of gene expression
V Boeva, M Regnier, D Papatsenko, V Makeev
Bioinformatics 22 (6), 676-684, 2006
1162006
Genomic Amplifications and Distal 6q Loss: Novel Markers for Poor Survival in High-risk Neuroblastoma Patients
P Depuydt, V Boeva, TD Hocking, R Cannoodt, IM Ambros, PF Ambros, ...
JNCI: Journal of the National Cancer Institute, 2018
1042018
TBX2 is a neuroblastoma core regulatory circuitry component enhancing MYCN/FOXM1 reactivation of DREAM targets
B Decaesteker, G Denecker, C Van Neste, EM Dolman, W Van Loocke, ...
Nature communications 9 (1), 4866, 2018
972018
Breakpoint features of genomic rearrangements in neuroblastoma with unbalanced translocations and chromothripsis
V Boeva, S Jouannet, R Daveau, V Combaret, C Pierre-Eugene, A Cazes, ...
PLoS One 8 (8), e72182, 2013
962013
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
SK Sieberts, F Zhu, J García-García, E Stahl, A Pratap, G Pandey, ...
Nature communications 7, 12460, 2016
952016
De novo motif identification improves the accuracy of predicting transcription factor binding sites in ChIP-Seq data analysis
V Boeva, D Surdez, N Guillon, F Tirode, AP Fejes, O Delattre, E Barillot
Nucleic acids research 38 (11), e126-e126, 2010
932010
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