Reprint

Systems Analytics and Integration of Big Omics Data

Edited by
April 2020
202 pages
  • ISBN978-3-03928-744-4 (Paperback)
  • ISBN978-3-03928-745-1 (PDF)

This is a Reprint of the Special Issue Systems Analytics and Integration of Big Omics Data that was published in

Biology & Life Sciences
Summary
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.

Related Books

December 2021

Integrative Multi-Omics in Biomedical Research

Biology & Life Sciences
...
December 2021

Multi-Omics for the Understanding of Brain Diseases

Biology & Life Sciences
...
July 2024

Omics Approaches for Crop Improvement

Biology & Life Sciences

The recommendations have been generated using an AI system.