Quantitative analysis of transcriptome dynamics provides novel insights into developmental state transitions.

Johnson K, Freedman S, Braun R, LaBonne C

DOI: 10.1186/s12864-022-08953-3
Published: 2022 Oct 23
Container: BMC genomics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12864-022-08953-3,
  title = {Quantitative analysis of transcriptome dynamics provides novel insights into developmental state transitions.},
  author = {Johnson K and Freedman S and Braun R and LaBonne C},
  year = {2022},
  journal = {BMC genomics},
  doi = {10.1186/s12864-022-08953-3},
  url = {https://doi.org/10.1186/s12864-022-08953-3}
}

RIS

TY  - JOUR
TI  - Quantitative analysis of transcriptome dynamics provides novel insights into developmental state transitions.
AU  - Johnson K
AU  - Freedman S
AU  - Braun R
AU  - LaBonne C
PY  - 2022
JO  - BMC genomics
DO  - 10.1186/s12864-022-08953-3
UR  - https://doi.org/10.1186/s12864-022-08953-3
ER  -

APA

K, J., S, F., R, B., & C, L. (2022). Quantitative analysis of transcriptome dynamics provides novel insights into developmental state transitions.. BMC genomics. https://doi.org/10.1186/s12864-022-08953-3

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pubmed · retrieved 2026-09-26T18:04:11.445Z