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SODAR: enabling, modeling, and managing multi-omics integration studies

Mikko Nieminen, Oliver Stolpe, Mathias Kuhring, January Weiner 3rd, Patrick Pett, Dieter Beule, Manuel Holtgrewe
doi: https://doi.org/10.1101/2022.08.19.504516
Mikko Nieminen
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Charitéplatz 1, 10117 Berlin, Germany
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  • For correspondence: mikko.nieminen@bih-charite.de
Oliver Stolpe
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Charitéplatz 1, 10117 Berlin, Germany
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Mathias Kuhring
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Charitéplatz 1, 10117 Berlin, Germany
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January Weiner 3rd
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Charitéplatz 1, 10117 Berlin, Germany
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Patrick Pett
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Charitéplatz 1, 10117 Berlin, Germany
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Dieter Beule
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Charitéplatz 1, 10117 Berlin, Germany
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Manuel Holtgrewe
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Charitéplatz 1, 10117 Berlin, Germany
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Abstract

Scientists employing omics in life science studies face challenges such as the modeling of multi assay studies, recording of all relevant parameters, and managing many samples with their metadata. Further, they must manage many large files that are the results of the assays or subsequent computation.

Scientists from diverse backgrounds also have different demands for interfacing with the data, ranging from computational users that need programmatic or command line access whereas non-computational users need graphical interfaces.

We introduce SODAR, the system for omics data access and retrieval. SODAR is a software package that addresses the points above by providing a web-based graphical user interface for managing multi assay studies and describing them using the open ISA (Investigation Study Assay) data model and ISA-Tab file format. Data storage is handled using the iRODS data management system which effortlessly handles many files and large amounts of data. SODAR also provides programmable APIs and command line access for metadata and to file storage.

SODAR supports multi-omics integration studies and can be easily installed. The software is written in Python 3 and freely available at https://github.com/bihealth/sodar-server under a permissive opensource license.

Competing Interest Statement

The authors have declared no competing interest.

  • 6. Abbreviations

    API
    Application Programmable Interface
    CUBI
    Core Unit Bioinformatics
    ELN
    Electronic Laboratory Notebook
    GUI
    Graphical User Interface
    HPO
    Human Phenotype Ontology
    HTTP
    Hyper Text Transfer Protocol
    IGV
    Integrated Genomics Viewer
    IRODS
    Integrated Rules-Oriented Data System
    ISA
    Investigation Study Assay
    LDAP
    Lightweight Directory Access Protocol
    LIMS
    Laboratory Information Management System
    MIT
    Massachusetts Institute of Technology (also commonly used with “MIT license”)
    NCBI
    National Center for Biotechnology Information
    OBO
    Open Biological and Biomedical Ontologies
    OpenBIS
    Open Biology Information System
    OWL
    Web Ontology Language
    PAM
    Pluggable Authentication Mechanism
    PEP
    Portable Encapsulated Projects
    SODAR
    System for Omics Access and Retrieval
    TB
    Tuberculosis
    TSV
    Tabular Separated Values
    UCSC
    University of California Santa Cruz
    WebDAV
    Web-based Distributed Authoring and Versioning)
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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    Posted August 22, 2022.
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    SODAR: enabling, modeling, and managing multi-omics integration studies
    Mikko Nieminen, Oliver Stolpe, Mathias Kuhring, January Weiner 3rd, Patrick Pett, Dieter Beule, Manuel Holtgrewe
    bioRxiv 2022.08.19.504516; doi: https://doi.org/10.1101/2022.08.19.504516
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    SODAR: enabling, modeling, and managing multi-omics integration studies
    Mikko Nieminen, Oliver Stolpe, Mathias Kuhring, January Weiner 3rd, Patrick Pett, Dieter Beule, Manuel Holtgrewe
    bioRxiv 2022.08.19.504516; doi: https://doi.org/10.1101/2022.08.19.504516

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