Abstract

Turning the data collected by the Human Genome Project into knowledge is one of the biggest scientific challenges of the 21st Century. The enormous volume of DNA sequence data and protein data now collected cannot be accessed, manipulated, or analyzed without computers. However, the greatest bottlenecks involve software rather than hardware. In spite of current levels of sophistication, we still lack adequate theory and algorithms to reliably perform such fundamental tasks as recognizing gene boundaries. It will take a new generation of scientists trained in both the biological and mathematical sciences to push forward our nation's genomic agenda. Few universities have the infrastructure and human resources to mount a genomics training program of the scope possible at UCLA. This training grant will bring together faculty from 4 different schools and 15 departments in the university to address the current gap in scientific training. It will train both predoctoral and postdoctoral students in the art of genomics analysis and interpretation.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Institutional National Research Service Award (T32)
Project #
5T32HG002536-04
Application #
6912725
Study Section
Ethical, Legal, Social Implications Review Committee (GNOM)
Program Officer
Graham, Bettie
Project Start
2002-07-01
Project End
2007-06-30
Budget Start
2005-07-01
Budget End
2006-06-30
Support Year
4
Fiscal Year
2005
Total Cost
$254,962
Indirect Cost

  Institution

Name
University of California Los Angeles
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095

  Publications

Pan, David Z; Garske, Kristina M; Alvarez, Marcus et al. (2018) Integration of human adipocyte chromosomal interactions with adipose gene expression prioritizes obesity-related genes from GWAS. Nat Commun 9:1512
Rao, Aliz R; Nelson, Stanley F (2018) Calculating the statistical significance of rare variants causal for Mendelian and complex disorders. BMC Med Genomics 11:53
Gilbert, Princess S; Wu, Jing; Simon, Margaret W et al. (2018) Filtering nucleotide sites by phylogenetic signal to noise ratio increases confidence in the Neoaves phylogeny generated from ultraconserved elements. Mol Phylogenet Evol 126:116-128
Weinhouse, Caren; Truong, Lisa; Meyer, Joel N et al. (2018) Caenorhabditis elegans as an emerging model system in environmental epigenetics. Environ Mol Mutagen 59:560-575
Kusters, Cynthia D J; Paul, Kimberly C; Guella, Ilaria et al. (2018) Dopamine receptors and BDNF-haplotypes predict dyskinesia in Parkinson's disease. Parkinsonism Relat Disord 47:39-44
Miao, Zong; Alvarez, Marcus; Pajukanta, Päivi et al. (2018) ASElux: an ultra-fast and accurate allelic reads counter. Bioinformatics 34:1313-1320
Camacho, Jessica; Truong, Lisa; Kurt, Zeyneb et al. (2018) The Memory of Environmental Chemical Exposure in C. elegans Is Dependent on the Jumonji Demethylases jmjd-2 and jmjd-3/utx-1. Cell Rep 23:2392-2404
Freund, Malika Kumar; Burch, Kathryn S; Shi, Huwenbo et al. (2018) Phenotype-Specific Enrichment of Mendelian Disorder Genes near GWAS Regions across 62 Complex Traits. Am J Hum Genet 103:535-552
Buckner, Janet C; Ellingson, Ryan; Gold, David A et al. (2018) Mitogenomics supports an unexpected taxonomic relationship for the extinct diving duck Chendytes lawi and definitively places the extinct Labrador Duck. Mol Phylogenet Evol 122:102-109
Rao, A R; Yourshaw, M; Christensen, B et al. (2017) Rare deleterious mutations are associated with disease in bipolar disorder families. Mol Psychiatry 22:1009-1014

Showing the most recent 10 out of 217 publications