| 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 | 963 | 2012 |
| 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 | 430 | 2017 |
| Computational pan-genomics: status, promises and challenges Computational Pan-Genomics Consortium Briefings in Bioinformatics, bbw089, 2016 | 345 | 2016 |
| 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 | 313 | 2011 |
| 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 | 287 | 2014 |
| 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 | 249 | 2010 |
| 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 | 224 | 2009 |
| 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 | 191 | 2015 |
| 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 | 186 | 2010 |
| Analysis of genomic sequence motifs for deciphering transcription factor binding and transcriptional regulation in eukaryotic cells V Boeva Frontiers in genetics 7, 24, 2016 | 177 | 2016 |
| 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 | 171 | 2015 |
| 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 | 131 | 2020 |
| 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 | 130 | 2014 |
| 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 | 123 | 2016 |
| 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 | 116 | 2006 |
| 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 | 102 | 2018 |
| 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 | 96 | 2018 |
| 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 | 96 | 2013 |
| 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 | 94 | 2016 |
| 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 | 92 | 2010 |
Jean-Philippe VertOwkin / PSL UniversityVerified email at owkin.com
