WebAtlas pipeline for integrated single-cell and spatial transcriptomic data
Nat Methods
.
2025 Jan;22(1):3-5.
doi: 10.1038/s41592-024-02371-x.
Authors
Tong Li
#
1
,
David Horsfall
#
1
2
,
Daniela Basurto-Lozada
#
1
2
,
Kenny Roberts
1
,
Martin Prete
1
,
John E G Lawrence
1
,
Peng He
1
,
Elisabeth Tuck
1
,
Josh Moore
3
,
Aybuke Kupcu Yoldas
4
,
Kolawole Babalola
4
,
Matthew Hartley
4
,
Shila Ghazanfar
5
6
,
Sarah A Teichmann
1
7
,
Muzlifah Haniffa
8
9
,
Omer Ali Bayraktar
10
Affiliations
1
Wellcome Sanger Institute, Hinxton, UK.
2
Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
3
German BioImaging - Gesellschaft für Mikroskopie und Bildanalyse e.V., Konstanz, Germany.
4
European Bioinformatics Institute, Hinxton, UK.
5
School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia.
6
Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
7
University of Cambridge, Cambridge, UK.
8
Wellcome Sanger Institute, Hinxton, UK. mh32@sanger.ac.uk.
9
Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK. mh32@sanger.ac.uk.
10
Wellcome Sanger Institute, Hinxton, UK. ob5@sanger.ac.uk.
#
Contributed equally.
PMID:
39160302
DOI:
10.1038/s41592-024-02371-x
No abstract available
Publication types
Letter
Grants and funding
206194 and 220540/Z/20/A/Wellcome Trust (Wellcome)
221052/Z/20/Z, 221052/A/20/Z, 221052/B/20/Z, 221052/C/20/Z, and 221052/E/20/Z/Wellcome Trust (Wellcome)
501864659/Deutsche Forschungsgemeinschaft (German Research Foundation)