Work

Abstractions for genomics

Year: 2013

Type: conference-abstract

Abstract: Large genomic databases with interactive access require new, layered abstractions, including separating "evidence" from "inference."

Source: Communications of the ACM

DOI: 10.1145/2398356.2398376

Authors: Vineet Bafna, Alin Deutsch, Andrew Heiberg, Christos Kozanitis, Lucila Ohno-Machado, George Varghese

Institution: University of California San Diego

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Human Genome Research Institute

Awards: iDASH: Integrating Data for Analysis, Anonymization, and Sharing, Algorithmic strategies for detecting structural variation in genomes, G9000143373

OpenAlex ID: W2011713075

Cites: 21

Cited by: 14

Related to: 10