Genetical genomics: the added value from segregation.

By R. Jansen, J. Nap. Trends in Genetics, 2001

1,078 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2c6b406ea1dc513ab8dd954bafc39af2838a41cb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

In Molecular Biology

Citations in the corpus

Estimating the number of true null hypotheses from a histogram of p values (2006, methodology): “However, the CD estimator proposed by Langaas et al. (2005) outperformed the 20-bin estimator for 21 of the 30 simulations settings considered in this article and generally exhibited the top performance among all the estimators we considered.”
Comparative Analysis of Proteome and Transcriptome Variation in Mouse (2011, background): “For example, ‘‘genetical genomics’’ studies examine transcript levels as a function of genetic variation and use this information to construct models, such as interaction networks, to explain complex phenotypes [1–8].”
Regulatory genes involved in the determination of frost tolerance in temperate cereals (2009, background): “Crosses between accessions that differed in their COR14b and WCS120 transcription levels at 12–15 8C were used to map these expression QTL in T. monococcum [29,41] and barley [25].”
Genomics to systems biology in animal and veterinary sciences: Progress, lessons and opportunities☆ (2014, methodology): “genomics are described in many key papers, starting with the landmark paper of (Jansen and Nap, 2001), followed by Kendziorski and Wang (2006), Kadarmideen (2008) and many others.”
R/qtl: high-throughput multiple QTL mapping (2010, positive): “These developments are partly driven by high-throughput genetical genomics—the name coined for the study of gene expression QTL (eQTL; Jansen and Nap, 2001), metabolite QTL (mQTL) and protein QTL (pQTL).”
Naturally occurring genetic variation in Arabidopsis thaliana. (2004, background): “However, new highthroughput technologies allow automatization of highly specific assays, including morphological measurements (22) or metabolite and transcript profiling (39, 56).”
Beans (Phaseolus spp.) – model food legumes (2004, neutral): “, 1997), as well as genomics (Jansen and Nap, 2001).”
Phenomics: the next challenge (2010, background): “Studies of both the genomes and the phenomes of individuals in segregating populations can be carried out in an approach known as Mendelian randomizatio”
Trans-acting regulatory variation in Saccharomyces cerevisiae and the role of transcription factors (2003, methodology): “Measuring transcript levels in the progeny thus allows simultaneous elucidation of the effects of many more factors affecting gene expression than is possible with conventional single-factor approache”