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    Bioinformatics Core Survey Highlights the Challenges Facing Data Analysis Facilities

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    Authors
    Dragon, Julie A.
    Gates, Chris
    Sui, Shannan Ho
    Hutchinson, John N.
    Murthy Karuturi, R. Krishna
    Kucukural, Alper
    Polson, Shawn
    Riva, Alberto
    Settles, Matthew Lee
    Thimmapuram, Jyothi
    Levine, Stuart S.
    Show allShow less
    UMass Chan Affiliations
    Program in Bioinformatics and Integrative Biology
    Document Type
    Journal Article
    Publication Date
    2020-04-29
    Keywords
    ABRF
    funding model
    institutional support
    omics
    UMCCTS funding
    Analytical, Diagnostic and Therapeutic Techniques and Equipment
    Bioinformatics
    Biostatistics
    Computational Biology
    Genomics
    Health and Medical Administration
    Show allShow less
    
    Metadata
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    Link to Full Text
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192196/
    Abstract
    Over the last decade, the cost of -omics data creation has decreased 10-fold, whereas the need for analytical support for those data has increased exponentially. Consequently, bioinformaticians face a second wave of challenges: novel applications of existing approaches (e.g., single-cell RNA sequencing), integration of -omics data sets of differing size and scale (e.g., spatial transcriptomics), as well as novel computational and statistical methods, all of which require more sophisticated pipelines and data management. Nonetheless, bioinformatics cores are often asked to operate under primarily a cost-recovery model, with limited institutional support. Seeing the need to assess bioinformatics core operations, the Association of Biomolecular Resource Facilities Genomics Bioinformatics Research Group conducted a survey to answer questions about staffing, services, financial models, and challenges to better understand the challenges bioinformatics core facilities are currently faced with and will need to address going forward. Of the respondent groups, we chose to focus on the survey data from smaller cores, which made up the majority. Although all cores indicated similar challenges in terms of changing technologies and analysis needs, small cores tended to have the added challenge of funding their operations largely through cost-recovery models with heavy administrative burdens.
    Source

    Dragon JA, Gates C, Sui SH, Hutchinson JN, Karuturi RKM, Kucukural A, Polson S, Riva A, Settles ML, Thimmapuram J, Levine SS. Bioinformatics Core Survey Highlights the Challenges Facing Data Analysis Facilities. J Biomol Tech. 2020 Apr 29:jbt.20-3102-005. doi: 10.7171/jbt.20-3102-005. Epub ahead of print. PMID: 32382253; PMCID: PMC7192196. Link to article on publisher's site

    DOI
    10.7171/jbt.20-3102-005
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/29475
    PubMed ID
    32382253
    Related Resources

    Link to Article in PubMed

    ae974a485f413a2113503eed53cd6c53
    10.7171/jbt.20-3102-005
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    UMass Chan Faculty and Researcher Publications
    Program in Bioinformatics and Integrative Biology Publications
    UMass Center for Clinical and Translational Science Supported Publications

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