Interpreting noncoding genetic variation in complex traits and human disease

First Page		Document Content
Date: 2012-11-10 09:39:49 Functional genomics Human genome Gene Genome-wide association study Long non-coding RNA Non-coding RNA Expression quantitative trait loci Single-nucleotide polymorphism Epigenomics Biology Genetics Noncoding DNA		Interpreting noncoding genetic variation in complex traits and human disease Add to Reading List Source URL: compbio.mit.edu Download Document from Source Website File Size: 1,05 MB Share Document on Facebook

	Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs DocID: 1uLe6 - View Document
	COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study Xiang Zhang 1 , Feng Pan 1 , Yuying Xie 2 , Fei Zou 3 , and Wei Wang 1 Departments of 1 Computer Science, 2 Genetics DocID: 1uuae - View Document
	FastANOVA: an Efficient Algorithm for Genome-Wide Association Study 1 1 DocID: 1u9Jv - View Document
	Bio84 Homework AssignmentAssignment: Describe a Genome-Wide Association Study for an inherited disease or condition Kidney Stones DocID: 1tYJi - View Document
	Vol. 00 noPages 1–11 BIOINFORMATICS TEAM: Efficient Two-Locus Epistasis Tests in Human Genome-Wide Association Study DocID: 1tTKu - View Document