Results 71 to 80 of about 132,242 (193)
(Re)-conciliation of genetics and genomics approaches for cotton fiber quality improvement [PDF]
, 2008 The integration of genomics and plant breeding is driven by the increasing availability of sequence resources and by technological developments. The simultaneous measurement of the expression of thousands of genes is possible, and comparisons between ...
Al-Ghazi, Yves +11 more
core
Statistical Modeling of Epistasis and Linkage Decay using Logic Regression [PDF]
, 2008 Logic regression has been recognized as a tool that can identify and model non-additive genetic interactions using Boolean logic groups. Logic regression, TASSEL-GLM and SAS-GLM were compared for analytical precision using a previously characterized ...
Jean-Luc Jannink +4 more
core +2 more sources
Network-based group variable selection for detecting expression quantitative trait loci (eQTL)
BMC Bioinformatics, 2011 Background Analysis of expression quantitative trait loci (eQTL) aims to identify the genetic loci associated with the expression level of genes. Penalized regression with a proper penalty is suitable for the high-dimensional biological data.
Zhang Xuegong, Wang Weichen
doaj +1 more source
Cell Reports, 2020 Summary: Gene expression levels vary across developmental stage, cell type, and region in the brain. Genomic variants also contribute to the variation in expression, and some neuropsychiatric disorder loci may exert their effects through this mechanism ...
Donna M. Werling +32 more
doaj +1 more source
Germline cancer gene expression quantitative trait loci influence local and global tumor mutations [PDF]
, 2022 Yuxi Liu, Alexander Gusev, Peter Kraft
openalex +1 more source
Using genomic annotations increases statistical power to detect eGenes. [PDF]
, 2016 MotivationExpression quantitative trait loci (eQTLs) are genetic variants that affect gene expression. In eQTL studies, one important task is to find eGenes or genes whose expressions are associated with at least one eQTL. The standard statistical method
Duong, Dat +6 more
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Genome BiologyBackground MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression. Perturbations in plasma miRNA levels are known to impact disease risk and have potential as disease biomarkers. Exploring the genetic regulation
Rima Mustafa +13 more
doaj +1 more source
Detection and Mapping of Quantitative Trait Loci that Determine Responsiveness [PDF]
, 2004 Exposure to 70% N2O evokes a robust antinociceptive effect in C57BL/6 (B6) but not in DBA/2 (D2) inbred mice. This study was conducted to identify quantitative trait loci (QTL) in the mouse genome that might determine responsiveness to N2O.
Belknap, John K. +4 more
core +1 more source
Replication and discovery of musculoskeletal QTLs in LG/J and SM/J advanced intercross lines [PDF]
, 2018 AR056280 awarded to DAB and AL. AIHC supported by IMS and Elphinstone Scholarship from the University of Aberdeen.
Blizard, David A +7 more
core +1 more source
Crop Journal, 2013 Using newly developed methods and software, association mapping was conducted for chromium content and total sugar in tobacco leaf, based on four -omics datasets.
Liyuan Zhou +8 more
doaj +1 more source