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5 - No-Boundary Thinking for Transcriptomics and Proteomics Big Data

Published online by Cambridge University Press:  14 September 2023

By
Mariola J. Ferraro ,
Andy D. Perkins ,
Mahalingam Ramkumar  and
Bindu Nanduri
Edited by
Xiuzhen Huang ,
Jason H. Moore  and
Yu Zhang
Xiuzhen Huang
Affiliation:
Cedars-Sinai Medical Center, Los Angeles
Jason H. Moore
Affiliation:
Cedars-Sinai Medical Center, Los Angeles
Yu Zhang
Affiliation:
Trinity University, Texas
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Summary

Ideal healthcare should provide prevention and treatment strategies in the context of individual variability. The promise of genomics and big data for understanding the complex disease etiology and development of treatment strategies for translating research findings in a laboratory setting to the bedside requires a paradigm shift in how we conduct biomedical research. The take-home message from the Human Genome Sequencing Project is the need for a bold vision, even in the absence of a clear path. The No-Boundary Thinking (NBT) approach that advocates a scientific dialogue among individuals with varying expertise in a “discipline-free” manner at the problem definition stage is a pragmatic approach to leverage big data for precision medicine. Genomics big data as it pertains to understanding the molecular function of genes and proteins is discussed in this chapter. We also discuss the challenges in the adoption of NBT to genomics research.

Keywords

proteomicsRNA-Seqbig dataNo-Boundary Thinkingbiomedical research
Type
Chapter
Information
Integrative Bioinformatics for Biomedical Big Data
A No-Boundary Thinking Approach
 , pp. 67 - 86
Publisher: Cambridge University Press
Print publication year: 2023

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