Equipping Physiologists with an Informatics Tool Chest: Toward an Integerated Mitochondrial Phenome

  • Anders Olav GarlidEmail author
  • Jennifer S. PolsonEmail author
  • Keith D. Garlid
  • Henning Hermjakob
  • Peipei Ping
Part of the Handbook of Experimental Pharmacology book series (HEP, volume 240)


Understanding the complex involvement of mitochondrial biology in disease development often requires the acquisition, analysis, and integration of large-scale molecular and phenotypic data. An increasing number of bioinformatics tools are currently employed to aid in mitochondrial investigations, most notably in predicting or corroborating the spatial and temporal dynamics of mitochondrial molecules, in retrieving structural data of mitochondrial components, and in aggregating as well as transforming mitochondrial centric biomedical knowledge. With the increasing prevalence of complex Big Data from omics experiments and clinical cohorts, informatics tools have become indispensable in our quest to understand mitochondrial physiology and pathology. Here we present an overview of the various informatics resources that are helping researchers explore this vital organelle and gain insights into its form, function, and dynamics.


Computation Data science FAIR data Metadata Omics Open access Visualization 



This work was supported by the NIH Big Data to Knowledge (BD2K) Center of Excellence Award (U54GM114883).


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© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.The NIH BD2K Center of Excellence in Biomedical Computing at UCLA, Department of PhysiologyUniversity of CaliforniaLos AngelesUSA
  2. 2.The NIH BD2K Center of Excellence in Biomedical Computing at UCLA, Departments of Physiology, Medicine, and BioinformaticsUniversity of CaliforniaLos AngelesUSA
  3. 3.Molecular Systems ClusterEuropean Molecular Biology Laboratory-European Bioinformatics Institute (EMBL-EBI)CambridgeUK

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