• Association mapping and significance estimation via the coalescent. Gad Kimmel, Richard M. Karp, Michael I. Jordan and Eran Halperin. The American Journal of Human Genetics, 2008.
• A randomization test for controlling population stratification in whole-genome association studies. [PDF] Gad Kimmel, Michael I. Jordan, Eran Halperin, Ron Shamir and Richard M. Karp. The American Journal of Human Genetics, 2007.

• On the inference of ancestries in admixed populations. Sriram Sankararaman^* , Gad Kimmel^* , Eran Halperin and Michael I. Jordan (* Equal contribution). Genome Research, 2008.

• Estimating local ancestry in admixed populations. Sriram Sankararaman, Srinath Sridhar, Gad Kimmel and Eran Halperin. The American Journal of Human Genetics, 2008.

• A fast method for computing high significance disease association in large population-based studies. [PDF]. Gad Kimmel and Ron Shamir. The American Journal of Human Genetics, 2006. Oral presentation, The Biology of Genomes meeting, Cold Spring Harbor Laboratory, 2006.

• GERBIL: genotype resolution and block identification using likelihood. [PDF]. Gad Kimmel and Ron Shamir. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2005. Oral presentation, Mutation Detection conference, 2005.

• Tag SNP selection in genotype data for maximizing SNP prediction accuracy. [PDF]. Eran Halperin^* , Gad Kimmel^* and Ron Shamir (* Equal contribution). Bioinformatics, 2005. Oral presentation, The Annual Meeting of the International Society for Computational Biology (ISMB), 2005.

Journals

1. Association mapping and significance estimation via the coalescent.
   Gad Kimmel, Richard M. Karp, Michael I. Jordan and Eran Halperin.
   The American Journal of Human Genetics 83: 675-683, 2008.

2. Increasing association power via prediction-based tag-SNP Selection.
   Ofir Davidovich^* , Gad Kimmel^* , Eran Halperin and Ron Shamir (* Equal contribution).
   Submitted for publication.

3. On the inference of ancestries in admixed populations.
   Sriram Sankararaman^* , Gad Kimmel^* , Eran Halperin and Michael I. Jordan (* Equal contribution).
   Genome Research 18: 668-675, 2008.

4. Estimating local ancestry in admixed populations.
   Sriram Sankararaman, Srinath Sridhar, Gad Kimmel and Eran Halperin.
   The American Journal of Human Genetics 82: 290-303, 2008.

5. A randomization test for controlling population stratification in whole-genome association studies. [PDF]
   Gad Kimmel, Michael I. Jordan, Eran Halperin, Ron Shamir and Richard M. Karp.
   The American Journal of Human Genetics 81: 895-905, 2007.

6. Lack of association of the 3'-UTR polymorphism in the NFKBIA gene with Crohn's disease in an Israeli cohort. [LINK]
   Esther Leshinsky-Silver, Amir Karban, Sarit Cohen, M. Fridlander, Ofir Davidowich, Gad Kimmel, Ron Shamir, and Arie Levine.
   International Journal of Colorectal Disease, 2007.

7. GEVALT: An integrated software tool for genotype analysis. [PDF]
   Ofir Davidovich, Gad Kimmel and Ron Shamir.
   BMC Bioinformatics 8: 36, 2007.

8. Risk factors for Perianal Crohn's disease: The role of genotype, phenotype and ethnicity.
   Amir Karban, Maza Itay, Ofir Davidovich, Esther Leshinsky, Gad Kimmel, Herma Fidder, Ron Shamir, Matti Waterman, Rami Eliakim and Arie Levine.
   American Journal of Gastroenterology 102: 1702-1708, 2007. [LINK]

9. A fast method for computing high significance disease association in large population-based studies. [PDF]
   Gad Kimmel and Ron Shamir.
   The American Journal of Human Genetics 79: 481-492, 2006.

10. ATM haplotypes and breast cancer risk in Jewish high risk women. [PDF]
    Marie Koren, Gad Kimmel, Edna Ben-Asher, Inbar Gal, Moshe Z. Papa, Jacques S. Beckmann, Doron Lancet, Ron Shamir and Eitan Friedman.
    British Journal of Cancer, 94: 1537-1543, 2006.

11. A specific RAD51 haplotype increases breast cancer risk in Jewish non-Ashkenazi high-risk women. [PDF]
    Inbar Gal, Gad Kimmel, Ruth Gershoni-Baruch, Moshe Z. Papa, Efrat Dagan, Ron Shamir, and Eitan Friedman.
    European Journal of Cancer, Volume 42(8): 1129-1134, 2006.

12. A block-free hidden markov model for genotypes and its application to disease association. [PDF]
    Gad Kimmel and Ron Shamir.
    Journal of Computational Biology (JCB) 12(10): 1243-1260, 2005.

13. Tag SNP selection in genotype data for maximizing SNP prediction accuracy. [PDF]
    Eran Halperin^* , Gad Kimmel^* and Ron Shamir (* Equal contribution).
    Bioinformatics 21(1): 195-203, 2005.

14. GERBIL: genotype resolution and block identification using likelihood. [PDF]
    Gad Kimmel and Ron Shamir.
    Proceedings of the National Academy of Sciences of the United States of America (PNAS) 102: 158-162, 2005.

15. The incomplete perfect phylogeny haplotype problem. [PDF]
    Gad Kimmel and Ron Shamir.
    Journal of Bioinformatics and Computational Biology (JBCB) 3(2): 359-384, 2005.

16. Computational problems in noisy SNP and haplotype analysis: block scores, block identification and population stratification. [PDF]
    Gad Kimmel, Roded Sharan and Ron Shamir.
    INFORMS Journal on Computing, 16(4): 360-370, 2004.

Conference Proceedings

1. On the inference of ancestries in admixed populations.
   Sriram Sankararaman^* , Gad Kimmel^* , Eran Halperin and Michael I. Jordan (* Equal contribution).
   To appear in the proceedings of the 12^th Annual International Conference on Research in Computational Molecular Biology (RECOMB), 2008.

2. Maximum likelihood resolution of multi-block genotypes. [PDF]
   Gad Kimmel and Ron Shamir.
   In proceedings of the Eighth Annual International Conference on Research in Computational Molecular Biology (RECOMB), pp. 2-9. The Association for Computing Machinery, 2004.

3. The incomplete perfect phylogeny haplotype problem. [PDF]
   Gad Kimmel and Ron Shamir.
   In Proceedings of the Second RECOMB Satellite Workshop on Computational Methods for SNPs and Haplotypes, pp. 59-70, 2004.

4. Identifying blocks and sub-populations in noisy SNP data. [PDF]
   Gad Kimmel, Roded Sharan and Ron Shamir.
   In Proceedings of the Workshop on Algorithms in Bioinformatics (WABI), pp. 303-319, 2003.

Ph.D. Thesis [PDF]