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1.
OMICS ; 22(2): 108-118, 2018 02.
Article in English | MEDLINE | ID: mdl-28402209

ABSTRACT

This innovation analysis highlights the underestimated and versatile potential of the new field of culturomics and examines its relation to other OMICS system sciences such as infectiomics, metabolomics, phenomics, and pharmacomicrobiomics. The advent of molecular biology, followed by the emergence of various disciplines of the genomics, and most importantly metagenomics, brought about the sharp decline of conventional microbiology methods. Emergence of culturomics has a natural synergy with therapeutic and clinical genomic approaches so as to realize personalized medicine. Notably, the concept of culturomics expands on that of phenomics and allows a reintroduction of the culture-based phenotypic characterization into the 21st century research repertoire, bolstered by robust technology for automated and massive execution, but its potential is largely unappreciated at present; the few available references show unenthusiastic pursuit and in narrow applications. This has not to be so: depending on the specific brand of culturomics, the scope of applications may extend to medicine, agriculture, environmental sciences, pharmacomicrobiomics, and biotechnology innovation. Moreover, culturomics may produce Big Data. This calls for a new generation of data scientists and innovative ways of harnessing and valorizing Big Data beyond classical genomics. Much more detailed and objective classification and identification of microbiota may soon be at hand through culturomics, thus enabling precision diagnosis toward truly personalized medicine. Culturomics may both widen the scope of microbiology and improve its contributions to diagnostics and personalized medicine, characterizing microbes and determining their associations with health and disease dynamics.


Subject(s)
Microbiota/drug effects , Microbiota/physiology , Precision Medicine/methods , Animals , Genomics/methods , Humans , Metabolomics/methods , Metagenomics/methods , Proteomics/methods
2.
OMICS ; 21(12): 733-740, 2017 12.
Article in English | MEDLINE | ID: mdl-29173101

ABSTRACT

Precision medicine, genomic and diagnostic services are no longer limited to developed countries. This broadening in geography of biomarker applications and omics diagnostics also demands empirical study of implementation, diagnostic testing, and counseling practices in the field. For example, the Malaysian population has large ethnic diversity and high prevalence of genetic disorders such as hemoglobinopathies and metabolic disorders. Increased morbidity and mortality from such diseases have a direct impact on society and health system sustainability and for this, decision-making becomes of outmost importance. We report here on our findings on the landscape of genomic testing and genetic counseling services in Malaysia. We first defined the framework of all Malaysian stakeholders that offer genomics services and next, we identified the related information gaps, as depicted through the service providers' online websites. Our research framework revealed that there is a very diverse spectrum of genomics services in Malaysia, in which wet- and dry-laboratory services integrate. Moreover, we identify the current gaps and possible remedies to improve the quality of genomic and predictive analytics, not to mention considerations to ensure robust ethics and responsible innovation. To our knowledge, this is the first such study to be performed for a Southeast Asian country. Our genomics and precision medicine services mapping strategy presented in this study may serve as a model for field assessment at regional, national, and international levels as precision medicine is expanding globally and new governance challenges and opportunities continue to emerge for smart implementation science.


Subject(s)
Precision Medicine/statistics & numerical data , Genetic Counseling/statistics & numerical data , Genetic Testing/statistics & numerical data , Genomics/statistics & numerical data , Humans , Malaysia , Public Health/statistics & numerical data
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