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Bioinformatics in Mental Health: Deriving Knowledge from Molecular and Cellular Data

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Mental Health Informatics

Part of the book series: Health Informatics ((HI))

Abstract

Translational bioinformatics plays a crucial role in biomarker discovery as it helps to bridge the gap between bench research and bedside clinical applications. Thanks to newer and faster molecular profiling technologies and decreasing costs, there are many opportunities for researchers to explore the molecular and physiological mechanisms of diseases. Biomarker discovery, or the identification of observable indicators of underlying biological state, enables researchers to characterize patients better, predict treatment responses and monitor disease outcomes. In addition, biomarker tests specialized for a disease can enable early detection and intervention or prevention.

Due to increasing prevalence and rising treatment costs, mental health disorders have become an important area for biomarker discovery and for improved patient treatment and care. Exploration of underlying biological mechanisms is key to the understanding of pathogenesis and pathophysiology of mental disorders.

In this chapter, we cover various data types commonly used in bioinformatics, file formats, and common methods for acquisition of such data. We also address the strengths and limitations of the different types of data used in biomarker discovery. We cover data and knowledge related to molecular and cellular phenomena, and their relationships to other phenomena in mental health. Finally, we address methods to transform molecular and cellular data into meaningful information about higher level human function.

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  1. Innovation Center for Biomedical Informatics (Georgetown-ICBI), Georgetown University, Washington, DC, USA

    Krithika Bhuvaneshwar & Yuriy Gusev

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  1. Krithika Bhuvaneshwar
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  2. Yuriy Gusev
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Correspondence to Krithika Bhuvaneshwar .

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  1. Duke University, Durham, NC, USA

    Jessica D. Tenenbaum

  2. Six Aims for Behavioral Health, Minneapolis, MN, USA

    Piper A. Ranallo

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Bhuvaneshwar, K., Gusev, Y. (2021). Bioinformatics in Mental Health: Deriving Knowledge from Molecular and Cellular Data. In: Tenenbaum, J.D., Ranallo, P.A. (eds) Mental Health Informatics. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-70558-9_11

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