Fereydoun Hormozdiari, Ph.D.
Algorithms for Sequence (Genome) Analysis
- Computational methods for structural variation discovery and genotyping: Structural variation are understudied type of genetic variation which have a significant effect on human health and evolution. As a lab we are working on developing novel computational methods for discovery of structural variation in whole-genome sequenced samples. We are interested in applying these methods to discover novel structural variation associated with complex disorders (e.g. autism and cancer).
- Genome assembly: We are interested in developing novel algorithms for better de novo genome assembly using different sequencing technologies.
System Biology and Disease Predictions
- Discovery of modules and pathways in complex disorders: One of the main projects in my lab is developing algorithms for discovery of modules and pathways contributing to neurological disorders.
- Prediction of complex disorder using rare and common variants: Finally, we are also interested in developing new classification algorithms which can predict the phenotype (e.g. disease or normal) of samples only based on observed -omics data (e.g. variants, expression, etc).
Graduate Group Affiliations
Turner T, et al. Genomic Patterns of De Novo mutation in Autism Simplex. Cell 2017 Vol 171, Issue 3, Oc 2017.
Soylev A, Kockan C, Hormozdiari F*, Alkan C*. Toolkit for automated and rapid discovery of structural variants. METHODS 2017 (joint last author).
Stessman HA, Xiong B, Coe BP, Wang T, et al. Targeted sequencing identifies 91 neurodevelopmental-disorder risk genes with autism and developmental-disability biases. Nature Genetics 2017 doi:10.1038/ng.3792
Huynh L, Hormozdiari F. Ultra-accurate complex disorder prediction: case study of neurodevelopmental disorders. RECOMB 2017 (full version of paper in Biorxiv).
Hehir-Kwa JY, et al. A high-quality human reference panel reveals the complexity and distribution of genomic structural variants. Nature Communications 2016 7: 12989.
Hormozdiari F, Hormozdiari F, Kingsford C, Medvedev P, Vandin P. The second decade of the International Conference on Research Research in Computational Molecular Biology (RECOMB). RECOMB 2016.
Turner TN, Hormozdiari F, Duyzend MH, et al. Genome Sequencing of Autism-Affected Families Reveals Disruption of Putative Noncoding Regulatory DNA. AJHG 2016 Jan. 98(1):58-74
F. Hormozdiari, O. Penn, E. Borestein, EE. Eichler, The discovery of integrated gene networks for autism and related disorders. Genome Research 2015
M. Chaisson, J. Huddleston, MY. Dennis, PH. Sudmant, M. Malig, F. Hormozdiari, et al. Resolving the complexity of the human genome using single-molecule sequencing. Nature 2015
F. Hormozdiari, MK. Konkel, J. Pardo-Martinez, G. Chiatante, IH. Herraez, et al. Rate and Patterns of great ape retrotransposition. Proc. Natl. Acad. Sci. (PNAS) 2013
The 1000 genome Project Consortium. An integrated map of genetic variation from 1,092 human genomes. Nature 2012
F. Hormozdiari, I. Hajirasouliha, A. McPherson, EE. Eichler, SC. Sahinalp. Simultaneous structural variation discovery in multiple paired-end sequenced genomes. Genome Research 2011
F. Hormozdiari , C. Alkan, M. Ventura, I. Hajirasouliha, et al. Alu repeat discovery and characterization within human genomes. Genome Research 2011
A. McPherson, F. Hormozdiari, A. Zayed, et al. deFuse: An Algorithm for Gene Fusion Discovery in Tumor RNA-Seq Data. PLoS Computational Biology 2011
RE. Mills, et al. Mapping copy number variation at fine-scale by population-scale genome sequencing. Nature 2011
F. Hormozdiari, I. Hajirasouliha, P. Dao, F. Hach, D. Yorukoglu, C. Alkan, EE. Eichler, SC. Sahinalp. Next Generation VariationHunter: Combinatorial Algorithms for Transposon Insertion Discovery. Bioinformatics 2010
F. Hormozdiari, R. Salari, V. Bafna, SC. Sahinalp. Protein-protein interaction network evolution for identifying potential drug targets. Journal of Computational Biology 2010
I. Hajirasouliha, F. Hormozdiari, C. Alkan, JM. Kidd, I. Birol, EE. Eichler, SC. Sahinalp. Detection of locus and content of novel sequence insertion using paired-end next-generation sequencing. Bioinformatics 2010
F. Hach, F. Hormozdiari, C. Alkan, F. Hormozdiari, I. Birol, EE. Eichler, SC. Sahinalp. mrsFAST: a cache-oblivious algorithm for short-read mapping. Nature Methods 2010
The 1000 Genome Project Consortium. A map of human genome variation from population-scale sequencing. Nature 2010