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Bioinformatics Core Survey Highlights the Challenges Facing Data Analysis Facilities.
Dragon, Julie A; Gates, Chris; Sui, Shannan Ho; Hutchinson, John N; Karuturi, R Krishna Murthy; Kucukural, Alper; Polson, Shawn; Riva, Alberto; Settles, Matthew Lee; Thimmapuram, Jyothi; Levine, Stuart S.
Afiliação
  • Dragon JA; University of Vermont, Burlington, Vermont 05405, USA.
  • Gates C; University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Sui SH; Harvard University, Cambridge, Massachusetts 02138, USA.
  • Hutchinson JN; Harvard University, Cambridge, Massachusetts 02138, USA.
  • Karuturi RKM; The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.
  • Kucukural A; University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA.
  • Polson S; University of Delaware, Newark, Delaware 19716, USA.
  • Riva A; University of Florida, Gainesville, Florida 32611, USA.
  • Settles ML; University of California at Davis, Davis, California 95616, USA.
  • Thimmapuram J; Purdue University, West Lafayette, Indiana 47907, USA; and.
  • Levine SS; Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
J Biomol Tech ; 31(2): 66-73, 2020 07.
Article em En | MEDLINE | ID: mdl-32382253
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica / Pesquisa Biomédica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica / Pesquisa Biomédica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article