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Challenges for Computational Stem Cell Biology: A Discussion for the Field.
Rackham, Owen; Cahan, Patrick; Mah, Nancy; Morris, Samantha; Ouyang, John F; Plant, Anne L; Tanaka, Yoshiaki; Wells, Christine A.
Afiliação
  • Rackham O; Program in Cardiovascular and Metabolic Disorders and Centre for Computational Biology, Duke-NUS Medical School, Singapore. Electronic address: owen.rackham@duke-nus.edu.sg.
  • Cahan P; Institute for Cell Engineering, Department of Biomedical Engineering, Department of Molecular Biology and Genetics, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
  • Mah N; Biomedical Data and Bioethics Group, Fraunhofer Institute for Biomedical Engineering (IBMT), Joseph-von-Fraunhofer-Weg 1, 66280 Sulzbach, Germany.
  • Morris S; Department of Developmental Biology, Department of Genetics, and Center of Regenerative Medicine, Washington University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA.
  • Ouyang JF; Program in Cardiovascular and Metabolic Disorders and Centre for Computational Biology, Duke-NUS Medical School, Singapore.
  • Plant AL; Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg MD, 20899 USA.
  • Tanaka Y; Department of Genetics, Yale Stem Cell Center, Yale School of Medicine, New Haven, CT 06520, USA.
  • Wells CA; Centre for Stem Cell Systems, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia. Electronic address: wells.c@unimelb.edu.au.
Stem Cell Reports ; 16(1): 3-9, 2021 01 12.
Article em En | MEDLINE | ID: mdl-33440181
ABSTRACT
The first meetup for Computational Stem Cell Biologists was held at the 2020 annual meeting of the International Society for Stem Cell Research. The discussions highlighted opportunities and barriers to computational stem cell research that require coordinated action across the stem cell sector.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Células-Tronco / Biologia Computacional Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Células-Tronco / Biologia Computacional Idioma: En Ano de publicação: 2021 Tipo de documento: Article