These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
222 related articles for article (PubMed ID: 30541929)
1. A Statistical Procedure for Genome-Wide Detection of QTL Hotspots Using Public Databases with Application to Rice. Yang MH; Wu DH; Kao CH G3 (Bethesda); 2019 Feb; 9(2):439-452. PubMed ID: 30541929 [TBL] [Abstract][Full Text] [Related]
2. A statistical framework for QTL hotspot detection. Wu PY; Yang MH; Kao CH G3 (Bethesda); 2021 Apr; 11(4):. PubMed ID: 33638985 [TBL] [Abstract][Full Text] [Related]
4. Multiple-interval mapping for quantitative trait loci controlling endosperm traits. Kao CH Genetics; 2004 Aug; 167(4):1987-2002. PubMed ID: 15342535 [TBL] [Abstract][Full Text] [Related]
5. Quantitative trait loci identification and meta-analysis for rice panicle-related traits. Wu Y; Huang M; Tao X; Guo T; Chen Z; Xiao W Mol Genet Genomics; 2016 Oct; 291(5):1927-40. PubMed ID: 27380139 [TBL] [Abstract][Full Text] [Related]
6. RicePilaf: a post-GWAS/QTL dashboard to integrate pangenomic, coexpression, regulatory, epigenomic, ontology, pathway, and text-mining information to provide functional insights into rice QTLs and GWAS loci. Shrestha AMS; Gonzales MEM; Ong PCL; Larmande P; Lee HS; Jeung JU; Kohli A; Chebotarov D; Mauleon RP; Lee JS; McNally KL Gigascience; 2024 Jan; 13():. PubMed ID: 38832465 [TBL] [Abstract][Full Text] [Related]
8. Genetic dissection of fruiting body-related traits using quantitative trait loci mapping in Lentinula edodes. Gong WB; Li L; Zhou Y; Bian YB; Kwan HS; Cheung MK; Xiao Y Appl Microbiol Biotechnol; 2016 Jun; 100(12):5437-52. PubMed ID: 26875873 [TBL] [Abstract][Full Text] [Related]
9. Prioritization of candidate genes in QTL regions based on associations between traits and biological processes. Bargsten JW; Nap JP; Sanchez-Perez GF; van Dijk AD BMC Plant Biol; 2014 Dec; 14():330. PubMed ID: 25492368 [TBL] [Abstract][Full Text] [Related]
10. Methodological aspects of the genetic dissection of gene expression. Carlborg O; De Koning DJ; Manly KF; Chesler E; Williams RW; Haley CS Bioinformatics; 2005 May; 21(10):2383-93. PubMed ID: 15613385 [TBL] [Abstract][Full Text] [Related]
11. PlantQTL-GE: a database system for identifying candidate genes in rice and Arabidopsis by gene expression and QTL information. Zeng H; Luo L; Zhang W; Zhou J; Li Z; Liu H; Zhu T; Feng X; Zhong Y Nucleic Acids Res; 2007 Jan; 35(Database issue):D879-82. PubMed ID: 17142239 [TBL] [Abstract][Full Text] [Related]
12. solQTL: a tool for QTL analysis, visualization and linking to genomes at SGN database. Tecle IY; Menda N; Buels RM; van der Knaap E; Mueller LA BMC Bioinformatics; 2010 Oct; 11():525. PubMed ID: 20964836 [TBL] [Abstract][Full Text] [Related]
13. Genome-wide association study of eating and cooking qualities in different subpopulations of rice (Oryza sativa L.). Xu F; Bao J; He Q; Park YJ BMC Genomics; 2016 Aug; 17():663. PubMed ID: 27544770 [TBL] [Abstract][Full Text] [Related]
14. RiceGeneThresher: a web-based application for mining genes underlying QTL in rice genome. Thongjuea S; Ruanjaichon V; Bruskiewich R; Vanavichit A Nucleic Acids Res; 2009 Jan; 37(Database issue):D996-1000. PubMed ID: 18820292 [TBL] [Abstract][Full Text] [Related]
15. Comparative Genetics of Seed Size Traits in Divergent Cereal Lineages Represented by Sorghum (Panicoidae) and Rice (Oryzoidae). Zhang D; Li J; Compton RO; Robertson J; Goff VH; Epps E; Kong W; Kim C; Paterson AH G3 (Bethesda); 2015 Mar; 5(6):1117-28. PubMed ID: 25834216 [TBL] [Abstract][Full Text] [Related]
17. The bovine QTL viewer: a web accessible database of bovine Quantitative Trait Loci. Polineni P; Aragonda P; Xavier SR; Furuta R; Adelson DL BMC Bioinformatics; 2006 Jun; 7():283. PubMed ID: 16753058 [TBL] [Abstract][Full Text] [Related]
18. Effective use of legacy data in a genome-wide association studies improves the credibility of quantitative trait loci detection in rice. Suganami M; Kojima S; Wang F; Yoshida H; Miura K; Morinaka Y; Watanabe M; Matsuda T; Yamamoto E; Matsuoka M Plant Physiol; 2023 Mar; 191(3):1561-1573. PubMed ID: 36652387 [TBL] [Abstract][Full Text] [Related]
19. Ghost QTL and hotspots in experimental crosses: novel approach for modeling polygenic effects. Wallin J; Bogdan M; Szulc PA; Doerge RW; Siegmund DO Genetics; 2021 Mar; 217(3):. PubMed ID: 33789342 [TBL] [Abstract][Full Text] [Related]
20. A new simple method for improving QTL mapping under selective genotyping. Lee HI; Ho HA; Kao CH Genetics; 2014 Dec; 198(4):1685-98. PubMed ID: 25245793 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]