Challenges and Cases of Genomic Data Integration Across Technologies and Biological Scales

  • Shamith A. SamarajiwaEmail author
  • Ioana Olan
  • Dóra Bihary
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 93)


Current technological advancements have facilitated novel experimental methods that measure a diverse assortment of biological processes, creating a data deluge in biology and medicine. This proliferation of data sources, from large repositories and data warehouses to specialist databases that store a variety of different data types, contributing to a multitude of different file formats, have necessitated minimal data standards that describe both data and annotation. In addition to integrating at the data resource level, development of integrative computational or statistical methods that explore two or more data types or biological layers to understand their joint influence can lead to a better understanding of both normal and pathological processes. Combination of these different data-layers, in turn enables us to glean a more integrative understanding of complex biological systems. Development of integrative methods that bridge both biology and technology can provide insight into different scales of gene and genome regulation. Some of these integrative approaches and their application are explored in this chapter in the context of modern genomics.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Shamith A. Samarajiwa
    • 1
    Email author
  • Ioana Olan
    • 2
  • Dóra Bihary
    • 1
  1. 1.MRC Cancer UnitUniversity of CambridgeCambridgeUK
  2. 2.Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK

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