Examples of using Omics in English and their translations into German
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Data integration OMICS& clinical data.
The TRAIN Omics initiative, for example, was created in this way.
The analysis of interlinked signal pathways taking advantage of different so-called? omics?
Description Qlucore Omics Explorer 3.1 is free to download from our software library.
The KORA-gen platform(KORA. PASST)provides access to datasets with genetic and other omics data as well as phenotypes of the KORA cohort.
TRAIN Omics bundles Know How and infrastructure across three locations and five research institutions.
The Statusplus study is part of the DZHK OMICs resource project, and the associated German reference genome project.
Metabolomics is one of severalemerging fields of research ending in the suffix"-omics," alongside genomics, transcriptomics and proteomics.
Germany is not adequately prepared for the rapid developments in omics technologies, particularly the information technology requirements of these technologies.
XhortOMICs: Diagnostic andepidemiological tools for the Xanthomonas hortorum species-level clade based on OMICs technologies.
These research centres are all members of the Translation Alliance in Lower Saxony andnetwork their Omics and bioinformatics expertise across cities and institutions.
State-of-the-art'omics' technologies, such as metagenomics, metatranscriptomics, metaproteomics and metabolomics can be applied to microbial samples to answer questions such as.
For high throughput technologies such as MRI studies, genotyping, gene expression or other omics approaches, design, data pre-processing and data analysis also play an important role.
For RD-Connect, the primary focus has been to ensure that the project is aligned with the needs of researchers submitting data to the platform capable of integrating andfurther analysing data from~omics studies using bioinformatics tools.
Next to the processing of different omics datasets, one challenge is the integration of different omics levels.
In modern tumor diagnostics, quantitative markers from computer-aided image analysis,as well as molecular multi-scale analyzes("OMICS") have already demonstrated high diagnostic value, e. g.
Determine to what extent individual omics experiments contribute to the predictive power of such an approach.
However, the KIT researcher also acknowledges that most blockchain applications today were not designed for working with big data,as is required in the omics technologies- or at least not yet.
If we understand biology from genomics and omics and wireless through physiologic phenotyping, that's big.
They learn how to interpret complex interrelationships andto identify significant changes to parameters in applied OMICs technologies- transcriptomics, genomics, proteomics and metabolomics.
The elucidation of disease-relevant genetic factors and further'omics markers as well as their inclusion into models of disease risk provides the basis of individualized approaches to treatment or prevention.
His main interests are the analysis of structure and dynamics of biological processes and networks, visual computing and visual analytics of biological data,integrative analysis of*omics data, as well as modelling and analysis of metabolism.
A number of other sophisticated'omics techniques such as proteomics, metabolomics, and transcriptomics are also being used to generate information about interactions between the microbiome and human host and how these are relevant to health and disease.
Despite intensive research in this field,currently there are no appropriate methods and platforms for merging image and OMICS data as a prerequisite for the development of certified, clinical analysis workflows.
The current studies based on single-omics or insufficient combination/association of metagenomic, metatranscriptomic and meta-metabolomic data limit the deep understanding and in-depth investigation of the biotic and abiotic factors that may disturb the pathobiome.
These include the development of long term cohorts and theconduct of clinical trials, the clinical use of"-omics" or the development of ICT and their applications in healthcare practice, notably e-health.
Christian Huber The team focuses its activities toward the establishment of experimental and computational workflows for cancer andallergy models by untargeted"-omics" analyses, which aims at generating unbiased hypotheses for studying molecular mechanisms of allergy and cancer.
The Christian Doppler Laboratory for Innovative Intestinal Health Concepts in Livestock applies advanced nutrition science,integrative gut models and cutting-edge“-Omics” technologies aiming to advance knowledge and discover tools that will lead to sustainable enhancement of gut and systemic health in cattle and pigs.