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dc.contributor.authorDragon, Julie A.
dc.contributor.authorGates, Chris
dc.contributor.authorSui, Shannan Ho
dc.contributor.authorHutchinson, John N.
dc.contributor.authorMurthy Karuturi, R. Krishna
dc.contributor.authorKucukural, Alper
dc.contributor.authorPolson, Shawn
dc.contributor.authorRiva, Alberto
dc.contributor.authorSettles, Matthew Lee
dc.contributor.authorThimmapuram, Jyothi
dc.contributor.authorLevine, Stuart S.
dc.date2022-08-11T08:08:24.000
dc.date.accessioned2022-08-23T15:54:04Z
dc.date.available2022-08-23T15:54:04Z
dc.date.issued2020-04-29
dc.date.submitted2020-06-26
dc.identifier.citation<p>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. <a href="https://doi.org/10.7171/jbt.20-3102-005">Link to article on publisher's site</a></p>
dc.identifier.issn1524-0215 (Linking)
dc.identifier.doi10.7171/jbt.20-3102-005
dc.identifier.pmid32382253
dc.identifier.urihttp://hdl.handle.net/20.500.14038/29475
dc.description.abstractOver 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.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=32382253&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192196/
dc.subjectABRF
dc.subjectfunding model
dc.subjectinstitutional support
dc.subjectomics
dc.subjectUMCCTS funding
dc.subjectAnalytical, Diagnostic and Therapeutic Techniques and Equipment
dc.subjectBioinformatics
dc.subjectBiostatistics
dc.subjectComputational Biology
dc.subjectGenomics
dc.subjectHealth and Medical Administration
dc.titleBioinformatics Core Survey Highlights the Challenges Facing Data Analysis Facilities
dc.typeJournal Article
dc.source.journaltitleJournal of biomolecular techniques : JBT
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/1699
dc.identifier.contextkey18276047
html.description.abstract<p>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.</p>
dc.identifier.submissionpathfaculty_pubs/1699
dc.contributor.departmentProgram in Bioinformatics and Integrative Biology


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