Ph.D., Columbia University, 2008
email@example.com | (516) 367-6947 (p)
Every gene has a job to do, but genes rarely act alone. Biologists have built models of molecular interaction networks that represent the complex relationships between thousands of different genes. I am using computational approaches to help define these relationships, work that is helping us to understand the causes of common diseases including autism, bipolar disorder, and cancer.
Ivan Iossifov focuses on the development of new methods and tools for genomic sequence analysis and for building and using molecular networks, and he applies them to specific biomedical problems. He studies the genetics of common diseases in humans using two main tools: next-generation sequencing and molecular networks representing functional relationships among genetic loci. These approaches in combination enable the kind of large-scale studies necessary for furthering our understanding of the complex etiology of disorders such as autism, bipolar disorder, and cancer.
Rodriguez-Esteban, R. and Iossifov, I. (2009) Figure mining for biomedical research. Bioinformatics, 25(16) pp. 2082-2084.
Liu, J. and Ghanim, M. and Xue, L. and Brown, C. D. and Iossifov, I. and Angeletti, C. and Hua, S. and Negre, N. and Ludwig, M. and Stricker, T. and Al-Ahmadie, H. A. and Tretiakova, M. and Camp, R. L. and Perera-Alberto, M. and Rimm, D. L. and Xu, T. and Rzhetsky, A. and White, K. P. (2009) Analysis of Drosophila segmentation network identifies a JNK pathway factor overexpressed in kidney cancer. Science, 323(5918) pp. 1218-22.
Iossifov, I. and Zheng, T. and Baron, M. and Gilliam, T. C. and Rzhetsky, A. (2008) Genetic-linkage mapping of complex hereditary disorders to a whole-genome molecular-interaction network. Genome Res, 18(7) pp. 1150-62.
Cokol, M. and Iossifov, I. and Rodriguez-Esteban, R. and Rzhetsky, A. (2007) How many scientific papers should be retracted?. EMBO Rep, 8(5) pp. 422-3.
Rodriguez-Esteban, R. and Iossifov, I. and Rzhetsky, A. (2006) Imitating manual curation of text-mined facts in biomedicine. PLoS Comput Biol, 2(9) pp. e118.Additional materials of the author at
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