The application of deep learning methods in the analysis of livestock genomes
2019/35/O/NZ9/00237
Keywords
Descriptors
- NZ9_002: Naukowe podstawy zootechniki
- NZ2_007: Bioinformatyka
- NZ2_010: Modelowanie i symulacje biologiczne
Panel
NZ9 – Fundamentals of applied life sciences and biotechnology: agricultural, forestry, horticulture, animal production and fishery, food and nutrition sciences, industrial biosciences, environmental biotechnology and remediation
Host institution
Uniwersytet Przyrodniczy we Wrocławiu, Wydział Biologii i Hodowli Zwierząt
Voivodeship: dolnośląskie
Principal investigator (from the host institution)
Number of co-investigators in the project: 2
Call
PRELUDIUM BIS 1 – announced on 2019-09-16
- Amount awarded
- 532 800 PLN
- Project start date
- 2020-10-01
- Project end date
- 2024-09-30
- Project duration
- 48 months (the same as in the proposal)
- Project status
- Project completed
Project description
Download the project description in a pdf file
Note — project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
Publication in academic press/journals (1)
-
Identification of functional features underlying heat stress response in Sprague–Dawley rats using mixed linear models
- Authors:
- Kotlarz, K., Mielczarek, M., Wang, Y., Dou, J., Suchocki, T., Szyda, J.
- Academic press:
- Scientific Reports (year: 2022, volume: 12, pages: 7671), Publisher: Nature Publishing Group
- Status:
- Published
- DOI:
- 10.1038/s41598-022-11701-y – link to the publication