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ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data.
Masson, Helen O; Borland, David; Reilly, Jason; Telleria, Adrian; Shrivastava, Shalki; Watson, Matt; Bustillos, Luthfi; Li, Zerong; Capps, Laura; Kellman, Benjamin P; King, Zachary A; Richelle, Anne; Lewis, Nathan E; Robasky, Kimberly.
Afiliação
  • Masson HO; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA.
  • Borland D; Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA.
  • Reilly J; Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA.
  • Telleria A; Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA.
  • Shrivastava S; Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA.
  • Watson M; Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA.
  • Bustillos L; Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA.
  • Li Z; Department of Pediatrics, UC San Diego, La Jolla, CA 92093, USA.
  • Capps L; Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA.
  • Kellman BP; Bioinformatics and Systems Biology Program, UC San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, UC San Diego, La Jolla, CA 92093, USA.
  • King ZA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA.
  • Richelle A; Department of Pediatrics, UC San Diego, La Jolla, CA 92093, USA.
  • Lewis NE; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, UC San Diego, La Jolla, CA 92093, USA. Electronic address: nlewisres@ucsd.edu.
  • Robasky K; Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel H0069ll, NC 27514, USA; School of Information and Library Science, University of North Carolina at Chapel Hill, Ch
STAR Protoc ; 4(1): 102069, 2023 03 17.
Article em En | MEDLINE | ID: mdl-36853701
ABSTRACT
Understanding cellular metabolism is important across biotechnology and biomedical research and has critical implications in a broad range of normal and pathological conditions. Here, we introduce the user-friendly web-based platform ImmCellFie, which allows the comprehensive analysis of metabolic functions inferred from transcriptomic or proteomic data. We explain how to set up a run using publicly available omics data and how to visualize the results. The ImmCellFie algorithm pushes beyond conventional statistical enrichment and incorporates complex biological mechanisms to quantify cell activity. For complete details on the use and execution of this protocol, please refer to Richelle et al. (2021).1.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Proteômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Proteômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article