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Articles 1 - 4 of 4
Full-Text Articles in Bioinformatics
A Gene-Based Association Method For Mapping Traits Using Reference Transcriptome Data, Eric R. Gamazon, Heather Wheeler, Kaanan P. Shah, Sahar V. Mozaffari, Keston Aquino-Michaels, Robert J. Carroll, Anne E. Eyler, Joshua C. Denny, Dan L. Nicolae, Nancy J. Cox, Hae Kyung Im
A Gene-Based Association Method For Mapping Traits Using Reference Transcriptome Data, Eric R. Gamazon, Heather Wheeler, Kaanan P. Shah, Sahar V. Mozaffari, Keston Aquino-Michaels, Robert J. Carroll, Anne E. Eyler, Joshua C. Denny, Dan L. Nicolae, Nancy J. Cox, Hae Kyung Im
Heather Wheeler
Genome-wide association studies (GWAS) have identified thousands of variants robustly associated with complex traits. However, the biological mechanisms underlying these associations are, in general, not well understood. We propose a gene-based association method called PrediXcan that directly tests the molecular mechanisms through which genetic variation affects phenotype. The approach estimates the component of gene expression determined by an individual’s genetic profile and correlates ‘imputed’ gene expression with the phenotype under investigation to identify genes involved in the etiology of the phenotype. Genetically regulated gene expression is estimated using whole-genome tissue-dependent prediction models trained with reference transcriptome data sets. PrediXcan enjoys …
Distinct Cardiac Responses To Heat Stress Between Two Broiler Lines Identified By Transcriptome Analysis, Jibin Zhang, Carl J. Schmidt, Susan J. Lamont
Distinct Cardiac Responses To Heat Stress Between Two Broiler Lines Identified By Transcriptome Analysis, Jibin Zhang, Carl J. Schmidt, Susan J. Lamont
Jibin Zhang
Jibin Zhang's Ppt For Midwest Meeting.Pdf, Jibin Zhang, Yeunsu Suh, Young Min Choi, Michael E. Davis, Kichoon Lee
Jibin Zhang's Ppt For Midwest Meeting.Pdf, Jibin Zhang, Yeunsu Suh, Young Min Choi, Michael E. Davis, Kichoon Lee
Jibin Zhang
Description And Annotation Of Biomedical Data Sets, Jen Ferguson
Description And Annotation Of Biomedical Data Sets, Jen Ferguson
Jen Ferguson
Deposition of biomedical data sets is on the rise as more scientists submit experimental data to accompany their publications. Scientists are also increasingly reusing these publicly available data sets in their own work. Despite these developments, lack of both context and metadata can create barriers to understanding and repurposing these data sets. Researchers from the Bioinformatics Core Group in the Harvard School of Public Health attempted to address this issue by assembling a team of data curators who used the open source software suite ISA tools to annotate and contextualize microarray data sets. This paper describes the workflow and software …