Multiomics (original) (raw)
다중체학(multiomics, 다중오믹스, 멀티오믹스)은 다중오믹스 데이터를 분석하는 생정보학의 일종이고, 유전체학의 일종이기도 하다.
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dbo:abstract | Multiomics, multi-omics, integrative omics, "panomics" or "pan-omics" is a biological analysis approach in which the data sets are multiple "omes", such as the genome, proteome, transcriptome, epigenome, metabolome, and microbiome (i.e., a meta-genome and/or meta-transcriptome, depending upon how it is sequenced); in other words, the use of multiple omics technologies to study life in a concerted way. By combining these "omes", scientists can analyze complex biological big data to find novel associations between biological entities, pinpoint relevant biomarkers and build elaborate markers of disease and physiology. In doing so, multiomics integrates diverse omics data to find a coherently matching geno-pheno-envirotype relationship or association. The OmicTools service lists more than 99 softwares related to multiomic data analysis, as well as more than 99 databases on the topic. Systems biology approaches are often based upon the use of panomic analysis data. The American Society of Clinical Oncology (ASCO) defines panomics as referring to "the interaction of all biologicalfunctions within a cell and with other body functions, combining data collected by targeted tests ... and global assays (such as genome sequencing) with other patient-specific information." (en) La multiomique est une discipline de la biotechnologie alliant les dernières avancées et analyses des champs de recherche de la génomique, de la métabolomique, de la transcriptomique et de la protéomique. Elle est parfois aussi appelée: omique intégrative, panomique ou pan-omique. Le terme peut être décrit comme une approche d' dans laquelle les ensembles de données sont des « omes » multiples, tels que le génome, le protéome, le transcriptome, l'épigénome, le métabolome et le microbiome (c'est-à-dire un métagénome et/ou un , selon la manière dont il est séquencé) en d'autres termes, l'utilisation de multiples technologies omiques pour étudier la vie de manière croisée. En combinant ces omiques, on peut analyser des mégadonnées biologiques pour trouver de nouvelles associations entre des entités biologiques, ou encore repérer des biomarqueurs pertinents et construire des . Ce faisant, la multiomique intègre diverses données omiques pour trouver une relation ou une association « géno-phéno-envirotype » cohérente. (fr) 다중체학(multiomics, 다중오믹스, 멀티오믹스)은 다중오믹스 데이터를 분석하는 생정보학의 일종이고, 유전체학의 일종이기도 하다. (ko) |
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rdfs:comment | 다중체학(multiomics, 다중오믹스, 멀티오믹스)은 다중오믹스 데이터를 분석하는 생정보학의 일종이고, 유전체학의 일종이기도 하다. (ko) Multiomics, multi-omics, integrative omics, "panomics" or "pan-omics" is a biological analysis approach in which the data sets are multiple "omes", such as the genome, proteome, transcriptome, epigenome, metabolome, and microbiome (i.e., a meta-genome and/or meta-transcriptome, depending upon how it is sequenced); in other words, the use of multiple omics technologies to study life in a concerted way. By combining these "omes", scientists can analyze complex biological big data to find novel associations between biological entities, pinpoint relevant biomarkers and build elaborate markers of disease and physiology. In doing so, multiomics integrates diverse omics data to find a coherently matching geno-pheno-envirotype relationship or association. The OmicTools service lists more than 99 s (en) La multiomique est une discipline de la biotechnologie alliant les dernières avancées et analyses des champs de recherche de la génomique, de la métabolomique, de la transcriptomique et de la protéomique. Elle est parfois aussi appelée: omique intégrative, panomique ou pan-omique. (fr) |
rdfs:label | Multiomique (fr) 다중체학 (ko) Multiomics (en) |
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