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・ Genome instability
・ Genome Institute of Singapore
・ Genome project
・ Genome Reference Consortium
・ Genome Research
・ Genome Research Foundation
・ Genome size
・ Genome survey sequence
・ Genome Therapeutics Corporation
・ Genome Valley
・ Genome-based peptide fingerprint scanning
・ Genome-wide association study
・ Genome@home
・ Genomes OnLine Database
・ Genomespace
Genomic and Medical Data
・ Genomic convergence
・ Genomic counseling
・ Genomic DNA
・ Genomic imprinting
・ Genomic island
・ Genomic library
・ Genomic Medicine Institute
・ Genomic organization
・ Genomic phylostratigraphy
・ Genomic signature
・ Genomic Standards Consortium
・ Genomics
・ Genomics (journal)
・ Genomics data sharing


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Genomic and Medical Data : ウィキペディア英語版
Genomic and Medical Data
Genomics is a concept that was first developed by Fred Sanger who first sequenced the complete genome of a virus and of a mitochondrion. The term genomics was first coined in 1986 by Tom Roderick, a geneticist at the Jackson Laboratory in Maine, during a meeting about the mapping of the human genome.
Genomics is an area within genetics that concerns the sequencing and analysis of an organism’s genome.
The genome is the entire DNA content that is present within one cell of an organism. Experts in genomics strive to determine consummate DNA sequences and perform genetic mapping to help understand disease.Genomics involves the study of all genes at the DNA (Deoxyribonucleic Acid), mRNA (Messenger Ribonucleic Acid), and proteome level as well as the cellular or tissue level.
== Open source tools for Medical Data ==

OMOP: It stands for Observational Medical Outcomes Partnership. It can accommodate observational data of different types (both claims and EHRs). It has a single common infrastructure that can accommodate both of the types from different sources around the world. It has successfully developed and executed large-scale statistical analyses capable of enabling active drug safety surveillance across prescription medications.
OHDSI: It stands for Observational Health Data Sciences and Informatics (OHDSI). It is a multi-stakeholder, interdisciplinary collaborative that is striving to bring out the value of observational health data through large-scale analytics. The main objective of OHDSI is to establish a research community for observational health data sciences that enables active engagement across multiple disciplines spanning multiple stakeholder groups.
OpenClinica: It is the world’s most widely-used, open-source software for clinical research. First released in 2005, OpenClinica is designed to meet the diverse needs of modern research environments. It is built as a lightweight, extensible, and modular application. The software is web based and users can access it with a standard web browser and internet connection.
Open EHR: It is an open standard specification in health informatics that describes the management and storage, retrieval and exchange of health data in electronic health records (EHRs). In OpenEHR, all health data for a person is stored in a "one lifetime", vendor-independent, person-centered EHR.
Clinical3PO: clinical3po is a open source big data environment for the veteran affairs(VA) informatics and computing infrastructure(VINCI), enables scalable markup of electronic health record (EHR) events to be used for predictive analysis.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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