View in EDS HTML Full Text PDF Full Text

GelGenie: an AI-powered framework for gel electrophoresis image analysis.

Saved in:
Bibliographic Details
Title: GelGenie: an AI-powered framework for gel electrophoresis image analysis.
Authors: Aquilina M; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK. matthew_aquilina@dfci.harvard.edu.; Deanery of Molecular, Genetic and Population Health Sciences, University of Edinburgh, Edinburgh, Scotland, UK. matthew_aquilina@dfci.harvard.edu.; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA. matthew_aquilina@dfci.harvard.edu.; Wyss Institute for Biological Engineering, Harvard University, Boston, MA, USA. matthew_aquilina@dfci.harvard.edu.; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA. matthew_aquilina@dfci.harvard.edu., Wu NJW; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK.; Institute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, Scotland, UK., Kwan K; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK., Bušić F; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK., Dodd J; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK., Nicolás-Sáenz L; Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, UK., O'Callaghan A; Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, UK., Bankhead P; Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, UK.; Edinburgh Pathology, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, UK.; CRUK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, UK., Dunn KE; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK. k.dunn@ed.ac.uk.
Source: Nature communications [Nat Commun] 2025 May 05; Vol. 16 (1), pp. 4087. Date of Electronic Publication: 2025 May 05.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40324991
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: GelGenie: an AI-powered framework for gel electrophoresis image analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Aquilina+M%22">Aquilina M</searchLink>; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK. matthew_aquilina@dfci.harvard.edu.; Deanery of Molecular, Genetic and Population Health Sciences, University of Edinburgh, Edinburgh, Scotland, UK. matthew_aquilina@dfci.harvard.edu.; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA. matthew_aquilina@dfci.harvard.edu.; Wyss Institute for Biological Engineering, Harvard University, Boston, MA, USA. matthew_aquilina@dfci.harvard.edu.; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA. matthew_aquilina@dfci.harvard.edu.<br /><searchLink fieldCode="AU" term="%22Wu+NJW%22">Wu NJW</searchLink>; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK.; Institute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, Scotland, UK.<br /><searchLink fieldCode="AU" term="%22Kwan+K%22">Kwan K</searchLink>; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK.<br /><searchLink fieldCode="AU" term="%22Bušić+F%22">Bušić F</searchLink>; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK.<br /><searchLink fieldCode="AU" term="%22Dodd+J%22">Dodd J</searchLink>; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK.<br /><searchLink fieldCode="AU" term="%22Nicolás-Sáenz+L%22">Nicolás-Sáenz L</searchLink>; Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, UK.<br /><searchLink fieldCode="AU" term="%22O'Callaghan+A%22">O'Callaghan A</searchLink>; Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, UK.<br /><searchLink fieldCode="AU" term="%22Bankhead+P%22">Bankhead P</searchLink>; Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, UK.; Edinburgh Pathology, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, UK.; CRUK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, UK.<br /><searchLink fieldCode="AU" term="%22Dunn+KE%22">Dunn KE</searchLink>; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, Scotland, UK. k.dunn@ed.ac.uk.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2025 May 05; Vol. 16 (1), pp. 4087. <i>Date of Electronic Publication: </i>2025 May 05.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101528555 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2041-1723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220411723%22">20411723 </searchLink><i>NLM ISO Abbreviation: </i>Nat Commun <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40324991
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41467-025-59189-0
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 4087
    Titles:
      – TitleFull: GelGenie: an AI-powered framework for gel electrophoresis image analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Aquilina M
      – PersonEntity:
          Name:
            NameFull: Wu NJW
      – PersonEntity:
          Name:
            NameFull: Kwan K
      – PersonEntity:
          Name:
            NameFull: Bušić F
      – PersonEntity:
          Name:
            NameFull: Dodd J
      – PersonEntity:
          Name:
            NameFull: Nicolás-Sáenz L
      – PersonEntity:
          Name:
            NameFull: O'Callaghan A
      – PersonEntity:
          Name:
            NameFull: Bankhead P
      – PersonEntity:
          Name:
            NameFull: Dunn KE
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 05
              M: 05
              Text: 2025 May 05
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2041-1723
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Nature communications
              Type: main
ResultId 1