| 5th RECOMB Satellite Workshop on Computational Methods in Genetics | |
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United States - CA - Los Angeles |
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| Hosted by: | University of California, Los Angeles |
| Venue: | UCLA Campus |
| Dates: | Jul 27, 2017 through Jul 28, 2017 |
| Call for Proceedings Presentations: | 2017-03-14 through 2017-04-14 |
| Event Registration: | 2017-03-01 through 2017-07-27 |
| Early Registration Deadline: | 2017-05-29 |
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Description |
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| 5th RECOMB Satellite Workshop on Computational Methods in Genetics RECOMB-Genetics UCLA Campus, Los Angeles, California July 27-28, 2017 SUMMARY Over the last decade, large-scale, cost-effective availability of genotype data has led to novel analytical opportunities and computational challenges in statistical genetics. Population genetics allows more refined understanding of the demographic history of our species. Association analysis provides insights into the functional and molecular underpinnings of diseases and traits. Clinical applications suggest genetics is emerging as a trailblazer in personalized medicine. Complex bioinformatics questions arise, ranging from inferring more nuanced statistical models of genetic information to algorithms that overcome the complexity challenges of analyzing millions of SNPs across millions of individuals, to systems level challenges of handling such Big Data repositories of genotypes and phenotypes. SCOPE This meeting will focus on current research at the intersection of genetics, computer science, statistics, and related fields in gathering, analyzing, and applying SNP and haplotype data to problems in medicine and basic research. We plan to build on the success of previous RECOMB Satellite Meetings on Computational Methods in Genetics in bringing together leading participants from widely divergent backgrounds to share their expertise and results. TOPICS Original research papers (including significant work-in-progress) or state-of-the-art surveys are solicited in all aspects of SNP analysis and genetics, including, but not limited to: Association analysis pipelines, imputation, phasing, and meta-analysis Rare variants analyses and burden tests Risk/phenotype prediction models and heritability analysis Analysis of molecular and ‘omics phenotypes’ (e.g., gene expression, other epigenetic markers) Complex associations, including mixed models, epistasis, and normalization Structured phenotypes: multiple/serial/intermediate phenotypes and pleiotropy Inference of population structure and demographic history Models for mutation, recombination, selection, and conservation Relatedness and identity-by-descent Structural variation |
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| Additional Information | |
| Event URL: | http://computationalgenomics.bioinformatics.ucla.edu/2017-recomb-satellite-meetings/ |
| ISCB Member Discount: | None |
| Contact Person: | Eleazar Eskin ([javascript protected email address]) |
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