Advances in molecular technology and their impact on fisheries genetics
By Loren J. Hauser, J. Seeb. 2008
118 citations recorded by the source corpus.
Subfields: Genetics, Immunology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/1a0b34cc68812027ad75e0684c37e0f658fa6b61
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- F. Allendorf
- Gordon Luikart
- Robin S. Waples
- M. D. Schwartz
- David A. Tallmon
- N. Ryman
- K. Selkoe
- André E. Punt
In Immunology
In Molecular Biology
- F. Allendorf
- Gordon Luikart
- Robin S. Waples
- M. D. Schwartz
- André E. Punt
- Christine Henzler
- S. Gaines
- J. Cope
Citations in the corpus
- Estimation of census and effective population sizes: the increasing usefulness of DNA-based approaches (2010, background): “Our ability to estimate population size parameters has vastly improved over the past decade, and will continue to improve in the future given rapid advances in genomic and computational technologies (Hauser and Seeb 2008; Haussler et al. 2009).”
- Seascape genetics and the spatial ecology of marine populations (2008, background): “However, until genomic level marker arrays are more widely available in marine species (Hauser and Seeb 2008), this type of inquiry must remain virtual.”
- Integrating genetic data into management of marine resources: how can we do it better? (2008, methodology): “…explosion of genetic data: development of DNA technology that can identify large numbers of highly variable markers; development of sophisticated new statistical methods for analysing population genetic data; and continuing rapid increases in computational power (see Hauser and Seeb 2008).”
- Bridging the gap between the genotype and the phenotype: linking genetic variation, selection and adaptation in fishes (2008, background): “Given dramatic improvements in sequencing technologies (Hudson 2008), it is not difficult to envisage a future where it is possible to generate whole-genome information on every organism (Hauser and Seeb 2008), if needed.”