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hCoCena: A toolbox for network-based co-expression analysis and horizontal integration of transcriptomic datasets.
Holsten, Lisa; Dahm, Kilian; Oestreich, Marie; Becker, Matthias; Ulas, Thomas.
Afiliación
  • Holsten L; Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany; PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, and University of Bonn, 53127 Bonn, Germany; Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn,
  • Dahm K; Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany; PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, and University of Bonn, 53127 Bonn, Germany; Department of Pediatrics, University Hospital Würzburg, 97080 Würzburg, Germany.
  • Oestreich M; Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany; Modular High-Performance Computing and Artificial Intelligence, German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany.
  • Becker M; Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany; Modular High-Performance Computing and Artificial Intelligence, German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany.
  • Ulas T; Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany; PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, and University of Bonn, 53127 Bonn, Germany; Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn,
STAR Protoc ; 5(1): 102922, 2024 Mar 15.
Article en En | MEDLINE | ID: mdl-38427570
ABSTRACT
As the number and complexity of transcriptomic datasets increase, there is a rising demand for accessible and user-friendly analysis tools. Here, we present hCoCena (horizontal construction of co-expression networks and analysis), a toolbox facilitating the analysis of a single dataset, as well as the joint analysis of multiple datasets. We describe steps for workspace setup, formatting tables, data processing, and network integration. We then detail procedures for gene clustering, gene set enrichment analysis, and transcription factor enrichment analysis. For complete details on the use and execution of this protocol, please refer to Oestreich et al.1.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Transcriptoma Idioma: En Revista: STAR Protoc Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Transcriptoma Idioma: En Revista: STAR Protoc Año: 2024 Tipo del documento: Article
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