| 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 | 581 | 2012 |
| 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 | 258 | 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 | 215 | 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 | 214 | 2010 |
| Computational pan-genomics: status, promises and challenges Computational Pan-Genomics Consortium Briefings in Bioinformatics, bbw089, 2016 | 172 | 2016 |
| 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 | 169 | 2017 |
| 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 | 158 | 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 | 149 | 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 | 119 | 2015 |
| 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 | 106 | 2006 |
| 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 | 101 | 2015 |
| 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 | 79 | 2014 |
| 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 | 79 | 2010 |
| 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 | 77 | 2016 |
| Analysis of genomic sequence motifs for deciphering transcription factor binding and transcriptional regulation in eukaryotic cells V Boeva Frontiers in genetics 7, 24, 2016 | 74 | 2016 |
| 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 | 72 | 2016 |
| 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 | 66 | 2013 |
| Learning smoothing models of copy number profiles using breakpoint annotations TD Hocking, G Schleiermacher, I Janoueix-Lerosey, V Boeva, J Cappo, ... BMC bioinformatics 14 (1), 164, 2013 | 61 | 2013 |
| Characterization of rearrangements involving the ALK gene reveals a novel truncated form associated with tumor aggressiveness in neuroblastoma A Cazes, C Louis-Brennetot, P Mazot, F Dingli, B Lombard, V Boeva, ... Cancer Research 73 (1), 195-204, 2013 | 50 | 2013 |
| FUN-LDA: A latent Dirichlet allocation model for predicting tissue-specific functional effects of noncoding variation: methods and applications D Backenroth, Z He, K Kiryluk, V Boeva, L Pethukova, E Khurana, ... The American Journal of Human Genetics 102 (5), 920-942, 2018 | 47 | 2018 |
Vsevolod MakeevVavilov Institute of General Genetics, Department of computational systems biologyVerified email at vigg.ru
