Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Systems Analytics and Integration of Big Omics Data

Systems Analytics and Integration of Big Omics Data

Hardiman, Gary

Paperback

BiologyGeneral ScienceGenetics

ISBN10: 3039287443
ISBN13: 9783039287444
Publisher: Mdpi AG
Published: Apr 15 2020
Pages: 202
Weight: 0.97
Height: 0.55 Width: 6.69 Depth: 9.61
Language: English

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.

Also in

Biology

View All