Systems Analytics and Integration of Big Omics Data

ISBN 10: 3039287443 / ISBN 13: 9783039287444

Editore: MDPI AG, MDPI AG, 2020

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nach der Bestellung gedruckt Neuware - Printed after ordering - A 'genotype' is essentially an organism's full hereditary information which is obtained from its parents. A 'phenotype' is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This 'Big Data' is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Codice articolo 9783039287444

Dati bibliografici

• Titolo: Systems Analytics and Integration of Big Omics Data
• Editore: MDPI AG, MDPI AG
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3039287443
• ISBN 13: 9783039287444
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 244 L x 170 A x 13 P (millimetri) 244 millimetri di larghezza per 170 millimetri di altezza per 13 millimetri di profondità
• Peso: 526 grammi

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Riassunto

A “genotype" is essentially an organism's full hereditary information which is obtained from its parents. A "phenotype" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.