Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Yang Jun-Wen"'
Compressed variance component mixed model reveals epistasis associated with flowering in Arabidopsis
Publikováno v:
Frontiers in Plant Science, Vol 14 (2024)
IntroductionEpistasis is currently a topic of great interest in molecular and quantitative genetics. Arabidopsis thaliana, as a model organism, plays a crucial role in studying the fundamental biology of diverse plant species. However, there have bee
Externí odkaz:
https://doaj.org/article/ef5901eb83ea4a3ebd57731ae9da777d
Autor:
Liu Xiao-Wei, Wang Xue-Hong, Tang Yong, Fu Nian, Wang Zheng-Gen, Yang Jun-Wen, Zhao Xin, Yin Ya-Ni, Cui Yi, Xie Ning, Wang Chun-Lian, Lu Fang-Gen
Publikováno v:
BMC Complementary and Alternative Medicine, Vol 11, Iss 1, p 53 (2011)
Abstract Background The hypocholesterolemic effects of lactic acid bacteria (LAB) have now become an area of great interest and controversy for many scientists. In this study, we evaluated the effects of Lactobacillus plantarum 9-41-A and Lactobacill
Externí odkaz:
https://doaj.org/article/24c423e202aa445488501a835ac8ff3b
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionQuantitative trait nucleotide (QTN)-by-environment interactions (QEIs) play an increasingly essential role in the genetic dissection of complex traits in crops as global climate change accelerates. The abiotic stresses, such as drought an
Externí odkaz:
https://doaj.org/article/00af486929394d74877aa67593305f12
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 59-65 (2020)
The methodologies and software packages for mapping quantitative trait loci (QTLs) in bi-parental segregation populations are well established. However, it is still difficult to detect small-effect and linked QTLs. To address this issue, we proposed
Externí odkaz:
https://doaj.org/article/a3a34dc6647d49478d71070303ecd259
Publikováno v:
Crop Journal, Vol 8, Iss 5, Pp 723-732 (2020)
Owing to high power and accuracy and low false positive rate in our multi-locus approaches for genome-wide association studies and linkage analyses, these approaches have attracted considerable attention in plant and animal genetics. In large mapping
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3161519cf126cbf0de157f0891a20339
http://www.sciencedirect.com/science/article/pii/S2214514120300775
http://www.sciencedirect.com/science/article/pii/S2214514120300775
Publikováno v:
In Hepatobiliary & Pancreatic Diseases International 2011 10(2):164-170
Publikováno v:
Frontiers in Plant Science; 2/15/2023, Vol. 14, p1-16, 16p
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Scientific Reports
Scientific Reports
One of the most important tasks in genome-wide association analysis (GWAS) is the detection of single-nucleotide polymorphisms (SNPs) which are related to target traits. With the development of sequencing technology, traditional statistical methods a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ccfa2733c753f0b40ce510a3433af4b
http://link.springer.com/article/10.1038/s41598-019-54519-x
http://link.springer.com/article/10.1038/s41598-019-54519-x
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 59-65 (2020)
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 59-65 (2020)
Highlights • Although QTL mapping methods are well established, it is difficult to detect small and linked QTLs. • An R software QTL.gCIMapping.GUI v2.0 has been developed to identify small and linked QTLs. • This software program can be used t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3fd64b57213fe85ebb2da05bd3e52c0
http://europepmc.org/articles/PMC6921137
http://europepmc.org/articles/PMC6921137
Autor:
Pei Li, Jun Gao, Wen-Long Ren, Yuan-Li Ni, Ya-Wen Zhang, Yuan-Ming Zhang, Cox Lwaka Tamba, Yang-Jun Wen
Previous studies reported that some important loci are missed in single-locus genome-wide association studies (GWAS), especially because of the large phenotypic error in field experiments. To solve this issue, multi-locus GWAS methods have been recom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ffaeb1c76dbd61b835db5ec94ee7ae4
