Ghent University Academic Bibliography

Your filters: cql: keyword exact "spatial transcriptomics"

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- Journal Article
- A1
- open access
Spotless, a reproducible pipeline for benchmarking cell type deconvolution in spatial transcriptomics

Chananchida Sang-aram (UGent) , Robin Browaeys (UGent) , Ruth Seurinck (UGent) and Yvan Saeys (UGent)

(2024) ELIFE. 12.
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- Miscellaneous
- open access
Best practices for the execution, analysis, and data storage of plant single-cell/nucleus transcriptomics

Carolin Seyfferth (UGent) , Thomas Eekhout (UGent) , Dongbo Shi, Manuel Neumann, Lea S. Berg, Yuji Ke (UGent) , Rachel Shahan, Kevin L. Cox Jr, Fabio Gomez-Cano, Hilde Nelissen (UGent) , et al.

(2024) PLANT CELL. 36(4). p.812-828
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Spatial transcriptomics of a lycophyte root sheds light on root evolution

Xilan Yang (UGent) , Ward Poelmans (UGent) , Carolin Seyfferth (UGent) , Abdellah Lakehal (UGent) , Julie Pevernagie (UGent) , Michiel Van Bel (UGent) , Maria Njo (UGent) , Lin Xu, Hilde Nelissen (UGent) , Bert De Rybel (UGent) , et al.

(2023) CURRENT BIOLOGY. 33(19). p.4069-4084.e8
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Advancing root developmental research through single-cell technologies

Max Minne (UGent) , Yuji Ke (UGent) , Maite Saura Sanchez (UGent) and Bert De Rybel (UGent)

(2022) CURRENT OPINION IN PLANT BIOLOGY. 65.
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An in situ sequencing approach maps PLASTOCHRON1 at the boundary between indeterminate and determinate cells

Reinout Laureyns, Jessica Joossens (UGent) , Denia Herwegh (UGent) , Julie Pevernagie (UGent) , Benjamin Pavie, Kirin Demuynck (UGent) , Kevin Debray (UGent) , Griet Coussens (UGent) , Laurens Pauwels (UGent) , Tom Van Hautegem (UGent) , et al.

(2022) PLANT PHYSIOLOGY. 188(2). p.782-794
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Single cell biology : a Keystone Symposia report

Jennifer Cable, Michael B. Elowitz, Ana I. Domingos, Naomi Habib, Shalev Itzkovitz, Homaira Hamidzada, Michael S. Balzer, Itai Yanai, Prisca Liberali, Jessica Whited, et al.

(2021) ANNALS OF THE NEW YORK ACADEMY OF SCIENCES. 1506(1). p.74-97

Academic Bibliography

Spotless, a reproducible pipeline for benchmarking cell type deconvolution in spatial transcriptomics

Best practices for the execution, analysis, and data storage of plant single-cell/nucleus transcriptomics

Spatial transcriptomics of a lycophyte root sheds light on root evolution

Advancing root developmental research through single-cell technologies

An in situ sequencing approach maps PLASTOCHRON1 at the boundary between indeterminate and determinate cells

Single cell biology : a Keystone Symposia report

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