Our proposed research remains with the study of a variety of population genetic models, genetic epidemiology, and related data analysis of genotypic and phenotypic traits observed in human and other populations. A major new focus of our research program will be to develop computer programs that rapidly search several large DNA sequences and identify sequence homology, dyad symmetries, and ascertain the form and level of consensus sequences and consensus patterns associated with biological regulatory sites. Our efforts will concentrate in five main areas: (1) complex population genetic systems covering multilocus-multiallele selection-linkage models, recombination processes and migration selection-interactions; (2) behavioral genetic models embracing forms of kin selection and altruism, sex allocation evolution, sexual selection patterns and behavioral systems involving frequency and density dependent selection; (3) cultural transmission and evolution; (4) genetic epidemiology; (5) intensive collaborative studies with biochemists on implementing very fast computer programs for comparing large DNA sequences. The interplay between theoretical analyses, data analyses, simulation and computer studies and an awareness of the biological problems has been a key factor in our progress. The unique collaboration between the Departments of Biology, Genetics, and Mathematics will continue to provide an ideal framework for achieving the research objectives defined in this Grant.
| Hao, Bingtao; Naik, Abani Kanta; Watanabe, Akiko et al. (2015) An anti-silencer- and SATB1-dependent chromatin hub regulates Rag1 and Rag2 gene expression during thymocyte development. J Exp Med 212:809-24 |
| Macario, Alberto J L; Brocchieri, Luciano; Shenoy, Avinash R et al. (2006) Evolution of a protein-folding machine: genomic and evolutionary analyses reveal three lineages of the archaeal hsp70(dnaK) gene. J Mol Evol 63:74-86 |
| Karlin, Samuel; Brocchieri, Luciano; Campbell, Allan et al. (2005) Genomic and proteomic comparisons between bacterial and archaeal genomes and related comparisons with the yeast and fly genomes. Proc Natl Acad Sci U S A 102:7309-14 |
| Brocchieri, Luciano; Karlin, Samuel (2005) Protein length in eukaryotic and prokaryotic proteomes. Nucleic Acids Res 33:3390-400 |
| Brocchieri, Luciano; Kledal, Thomas N; Karlin, Samuel et al. (2005) Predicting coding potential from genome sequence: application to betaherpesviruses infecting rats and mice. J Virol 79:7570-96 |
| Karlin, Samuel; Mrazek, Jan; Ma, Jiong et al. (2005) Predicted highly expressed genes in archaeal genomes. Proc Natl Acad Sci U S A 102:7303-8 |
| Karlin, Samuel; Theriot, Julie; Mrazek, Jan (2004) Comparative analysis of gene expression among low G+C gram-positive genomes. Proc Natl Acad Sci U S A 101:6182-7 |
| Karlin, Samuel; Barnett, Melanie J; Campbell, Allan M et al. (2003) Predicting gene expression levels from codon biases in alpha-proteobacterial genomes. Proc Natl Acad Sci U S A 100:7313-8 |
| Campbell, Allan (2003) Prophage insertion sites. Res Microbiol 154:277-82 |
| Mrazek, Jan; Gaynon, Lisa H; Karlin, Samuel (2002) Frequent oligonucleotide motifs in genomes of three streptococci. Nucleic Acids Res 30:4216-21 |
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