Associate Professor
Ph.D.,2005
Head of Department
Bioinformatics, network biology, computational systems biology, protein interactions, transcriptome and RNA sequencing analysis, data integration, Par |
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- Bioinformatics
- Network biology
- Computational systems biology
- Protein interactions
- Transcriptome and RNA sequencing analysis
- Data integration
- Parkinson's disease
- Melanoma
- Yeast response pathways
- Computational systems biology of human tissues
- Tissue-selectivity of genetic diseases
- Identifying the cellular pathways underlying complex diseases (Alzheimer disease, Parkinson disease, melanoma)
- The yeast signaling network
Major expertise and techniques in the lab
- Bioinformatics/computational systems biology
- Network biology (human tissues, yeast) Pathway analysis (complex diseases, environmental responses)
- Large-scale data integration (next generation sequencing, molecular interactions, screening)
Publications and funding summary / representative publications and grants
- Yeger-Lotem E., Riva L., Su L.J., Gitler A., Cashikar A., King O.D., Auluck P.K., Geddie M.L., Valastyan J.S., Karger D.R., Lindquist S., Fraenkel E. 2009. Bridging the gap between high-throughput genetic and transcriptional data reveals cellular pathways responding to alpha-synuclein toxicity. Nature Genetics 41: 316 - 323 .
- Barshir R., Shwartz O., Smoly I.Y. and Yeger-Lotem E. 2014. Comparative analysis of human tissue interactomes reveals factors leading to tissue-specific manifestation of hereditary diseases. PLoS Computational. Biology 10(6):e1003632
- Grants from IRG, BSF, Israel Cancer Association, ISF, Broad-ISF
Looking for expertise / project
- Complex diseases – identification of cellular pathways underlying disease