Research Areas
- Computational Biology
- Machine Learning
- Algorithms
- Population Genetics
- Statistical Genetics
The research in our lab involves the development of computational methods for the analysis of genetic data. Our goal is to improve the understanding of disease genetics through a rigorous search for he different genetic components of disease mechanisms and their interactions. For a more detailed story, you are welcome to visit our Lab.
CV
Curriculum Vitae (pdf)News
September, 2009 - From DNA Data to
Disease Diagnosis
Frontier
Economy,
Spanish version
August, 2009 - Researchers Claim
New Software Can Skirt Privacy Challenges of
GWAS Data-Sharing
GenomeWeb,
Innovation
report,
Physorg,
,
The Medical News (Sydney, Australia),
Jerusalem
Post,
ynet
(Israel),
Biopharma.
July, 2009 - Gene linked to
increasingly common type of blood cancer
EurekAlert
Contact:
Tel-Aviv: heran at post tau ac il (replace spaces by dots)Berkeley: heran at icsi berkeley edu
Photos
Selected publications
"Genomic Privacy and Limits of Individual
Detection in a Pool"
Nature Genetics, 2009.
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"SNP imputation in association studies"
Nature Biotechnology, 2009.
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"Maximizing power in association studies"
Nature Biotechnology, 2009.
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"Estimating Local Ancestry in Admixed Populations"
American Journal of Human Genetics, 2008
Read
more
"Whole-genome patterns of common DNA variation in three human
populations"
Science, 2005.
Read
more
"Haplotype reconstruction from genotype data using imperfect
phylogeny"
Bioinformatics,2004.
Read
more
"Asymmetric k-center is log* n-hard to approximate"
Journal of the ACM, 2005.
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more
"Improved approximation algorithms for the vertex cover problem
in graphs and hypergraphs"
SIAM Journal of Computing, 2002.
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