title: Equipping Physiologists with an Informatics Tool Chest: Toward an Integerated Mitochondrial Phenome.
abstract: 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.
authors.affiliation: The NIH BD2K Center of Excellence in Biomedical Computing at UCLA, Department of Physiology, University of California, Los Angeles, CA, 90095, USA. aogarlid@gmail.com.
authors.forename: Anders Olav
authors.initials: AO
authors.lastname: Garlid
authors.affiliation: The NIH BD2K Center of Excellence in Biomedical Computing at UCLA, Department of Physiology, University of California, Los Angeles, CA, 90095, USA. jpolson@g.ucla.edu.
authors.forename: Jennifer S
authors.initials: JS
authors.lastname: Polson
authors.affiliation: The NIH BD2K Center of Excellence in Biomedical Computing at UCLA, Department of Physiology, University of California, Los Angeles, CA, 90095, USA.
authors.forename: Keith D
authors.initials: KD
authors.lastname: Garlid
authors.affiliation: The NIH BD2K Center of Excellence in Biomedical Computing at UCLA, Department of Physiology, University of California, Los Angeles, CA, 90095, USA.|Molecular Systems Cluster, European Molecular Biology Laboratory-European Bioinformatics Institute (EMBL-EBI), Cambridge, UK.
authors.forename: Henning
authors.initials: H
authors.lastname: Hermjakob
authors.affiliation: The NIH BD2K Center of Excellence in Biomedical Computing at UCLA, Departments of Physiology, Medicine, and Bioinformatics, University of California, Los Angeles, CA, 90095, USA.
authors.forename: Peipei
authors.initials: P
authors.lastname: Ping
mesh_terms: D000818:Animals; D019295:Computational Biology; D001330:Electronic Data Processing; D006801:Humans; D033181:Information Dissemination; D008928:Mitochondria / Q000502:physiology*; D028361:Mitochondrial Diseases / Q000209:etiology / Q000503:physiopathology; D010827:Physiology; D013223:Statistics as Topic
keywords: Computation; Data science; FAIR data; Metadata; Omics; Open access; Visualization