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Using a whole genome co-expression network to inform the functional characterisation of predicted genomic elements from Mycobacterium tuberculosis transcriptomic data.
Stiens, Jennifer; Tan, Yen Yi; Joyce, Rosanna; Arnvig, Kristine B; Kendall, Sharon L; Nobeli, Irene.
Afiliação
  • Stiens J; Institute of Structural and Molecular Biology, Biological Sciences, Birkbeck, University of London, London, UK.
  • Tan YY; Institute of Structural and Molecular Biology, Biological Sciences, Birkbeck, University of London, London, UK.
  • Joyce R; Institute of Structural and Molecular Biology, Biological Sciences, Birkbeck, University of London, London, UK.
  • Arnvig KB; Division of Biosciences, Institute of Structural and Molecular Biology, University College London, London, UK.
  • Kendall SL; Royal Veterinary College, Centre for Emerging, Endemic and Exotic Diseases, Pathobiology and Population Sciences, Hatfield, UK.
  • Nobeli I; Institute of Structural and Molecular Biology, Biological Sciences, Birkbeck, University of London, London, UK.
Mol Microbiol ; 119(4): 381-400, 2023 04.
Article em En | MEDLINE | ID: mdl-36924313
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transcriptoma / Mycobacterium tuberculosis 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: Transcriptoma / Mycobacterium tuberculosis Idioma: En Ano de publicação: 2023 Tipo de documento: Article