Valentina Boeva
Responsable de l'équipe, (Epi-)génétique computationnelle du cancer
Institution:
USPC - SET - SVS
Summary
Published articles Show More
HMCan-diff: a method to detect changes in histone modifications in cells with different genetic characteristics
Published in Nucleic Acids Research
Comparing histone modification profiles between cancer and normal states, or across different tumor samples, can provide insights into understanding cancer initiation, progression and response to therapy. ChIP-seq histone modification data of cancer samples are distorted by copy number variation innate to any cancer cell. We present HMCan-diff, the...
Comparative analyses of super-enhancers reveal conserved elements in vertebrate genomes
Published in Genome Research
Super-enhancers (SEs) are key transcriptional drivers of cellular, developmental, and disease states in mammals, yet the conservational and regulatory features of these enhancer elements in nonmammalian vertebrates are unknown. To define SEs in zebrafish and enable sequence and functional comparisons to mouse and human SEs, we used genome-wide hist...
Computational pan-genomics: status, promises and challenges
...Published in Briefings in Bioinformatics
Many disciplines, from human genetics and oncology to plant breeding, microbiology and virology, commonly face the challenge of analyzing rapidly increasing numbers of genomes. In case of Homo sapiens, the number of sequenced genomes will approach hundreds of thousands in the next few years. Simply scaling up established bioinformatics pipelines wi...
Preprints Show More
Dynamic read mapping and online consensus calling for better variant detection
Variant detection from high-throughput sequencing data is an essential step in identification of alleles involved in complex diseases and cancer. To deal with these massive data, elaborated sequence analysis pipelines are employed. A core component of such pipelines is a read mapping module whose accuracy strongly affects the quality of resulting v...
Experience
Responsable de l'équipe
université Paris Descartes
(Epi-)génétique computationnelle du cancer; Développement, Reproduction, Cancer (DRC); UMR 8104 / UMR_S1016, Institut Cochin; Faculté de Médecine
Education
Master's degree, Applied Mathematics 1998 - 2003
Lomonosov Moscow State University - MSU (Moscow RU)
Focus on Theory of Probability
