Systematically Sifting Big Data to Identify Novel Causal Genes for Human Traits
نویسندگان
چکیده
منابع مشابه
A Novel Data-Mining Approach Systematically Links Genes to Traits
0733 components not targeted by known kinase inhibitors. From the library of screened compounds, Shokat and colleagues identifi ed a molecule (hydroxy-PP) that, though structurally related to a known kinase inhibitor, induced morphological changes distinct from any known kinase inhibitor. What does hydroxy-PP target? An enzyme, called carbonyl reductase 1 (CBR1), that acts on xenobiotics like a...
متن کاملNovel integrative genomics strategies to identify genes for complex traits
Forward genetics is a common approach to dissecting complex traits like common human diseases. The ultimate aim of this approach was the identification of genes that are causal for disease or other phenotypes of interest. However, the forward genetics approach is by definition restricted to the identification of genes that have incurred mutations over the course of evolution or that incurred mu...
متن کاملUsing Archived Data to Systematically Identify and Prioritize Freeway Bottlenecks
Bottlenecks are critical components of freeway systems and are of increasing importance as congestion worsens in major urban areas. In the U.S., the Federal Highway Administration has launched a new initiative aimed at identifying key bottlenecks in each state. In Oregon, a freeway data archive has been established that stores vehicular count, occupancy, and speed data from over 600 locations a...
متن کاملIdentification of causal genes for complex traits
MOTIVATION Although genome-wide association studies (GWAS) have identified thousands of variants associated with common diseases and complex traits, only a handful of these variants are validated to be causal. We consider 'causal variants' as variants which are responsible for the association signal at a locus. As opposed to association studies that benefit from linkage disequilibrium (LD), the...
متن کاملBig Data Quality: From Content to Context
Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cell Metabolism
سال: 2020
ISSN: 1550-4131
DOI: 10.1016/j.cmet.2020.03.013