- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A single-cell transcriptomic atlas of the developing chicken limb ; volume:20 ; number:1 ; day:22 ; month:5 ; year:2019 ; pages:1-15 ; date:12.2019
BMC genomics ; 20, Heft 1 (22.5.2019), 1-15, 12.2019
- Classification
-
Biowissenschaften, Biologie
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12864-019-5802-2
- URN
-
urn:nbn:de:101:1-2019110712584951389183
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Feregrino, Christian
- Sacher, Fabio
- Parnas, Oren
- Tschopp, Patrick
- SpringerLink (Online service)
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Transcriptomic landscape of the blastema niche in regenerating adult axolotl limbs at single-cell resolution
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Single-cell transcriptomic analysis of mouse neocortical development
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Ectopic Fgf signaling induces the intercalary response in developing chicken limb buds
Transcriptomic landscape of the blastema niche in regenerating adult axolotl limbs at single-cell resolution
Chicken pituitary transcriptomic responses to acute heat stress
Single-cell transcriptomic analysis of mouse neocortical development
Cancer biology deciphered by single-cell transcriptomic sequencing
Single-cell transcriptomic atlas of goat ovarian aging
Single-cell spatial transcriptomic analysis reveals common and divergent features of developing postnatal granule cerebellar cells and medulloblastoma
Transcriptomic Diversification of Granulosa Cells during Follicular Development in Chicken
Single-cell RNA-seq mapping of chicken peripheral blood leukocytes
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Combinatorial prediction of marker panels from single‐cell transcriptomic data