What is she best known for?
The fields of study she is best known for:
Lisa W. Seeb focuses on Genetics, Single-nucleotide polymorphism, Oncorhynchus, Microsatellite and Genome.
As part of her studies on Single-nucleotide polymorphism, Lisa W. Seeb frequently links adjacent subjects like Population genetics.
Her work deals with themes such as Evolutionary biology and Fishery, which intersect with Oncorhynchus.
Her study looks at the relationship between Fishery and fields such as Fish migration, as well as how they intersect with chemical problems.
Her work focuses on many connections between Microsatellite and other disciplines, such as Chinook wind, that overlap with her field of interest in DNA database, Genetic stock, Stock assessment and Salmonidae.
In her study, Ecology is strongly linked to Genetic variation, which falls under the umbrella field of Nuclear DNA.
Her most cited work include:
- Single-nucleotide polymorphism (SNP) discovery and applications of SNP genotyping in nonmodel organisms. (254 citations)
- Development of a Standardized DNA Database for Chinook Salmon (167 citations)
- An empirical comparison of SNPs and microsatellites for parentage and kinship assignment in a wild sockeye salmon (Oncorhynchus nerka) population. (154 citations)
What are the main themes of her work throughout her whole career to date?
Lisa W. Seeb spends much of her time researching Oncorhynchus, Genetics, Ecology, Fishery and Single-nucleotide polymorphism.
She studies Chinook wind which is a part of Oncorhynchus.
In most of her Genetics studies, her work intersects topics such as Evolutionary biology.
Lisa W. Seeb has included themes like Genetic structure, Genetic diversity, Genetic variation and Population genetics in her Ecology study.
Her Fishery research integrates issues from Pacific Rim and Tributary.
Her work in the fields of SNP and SNP genotyping overlaps with other areas such as Baseline.
She most often published in these fields:
- Oncorhynchus (42.06%)
- Genetics (36.45%)
- Ecology (32.71%)
What were the highlights of her more recent work (between 2015-2020)?
- Evolutionary biology (24.30%)
- Oncorhynchus (42.06%)
- Genome (14.02%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Evolutionary biology, Oncorhynchus, Genome, Genetics and Fishery.
Lisa W. Seeb has researched Evolutionary biology in several fields, including Adaptation, Ecotype, Adaptive radiation and Single-nucleotide polymorphism.
Her Oncorhynchus research incorporates themes from Ecology and Local adaptation.
She works mostly in the field of Ecology, limiting it down to concerns involving Genetic diversity and, occasionally, Major histocompatibility complex and Range.
Her work carried out in the field of Genome brings together such families of science as Quantitative trait locus, Genetic linkage, Allele, Genotype and DNA sequencing.
Lisa W. Seeb interconnects Genetic structure and Interception in the investigation of issues within Fishery.
Between 2015 and 2020, her most popular works were:
- RADseq provides unprecedented insights into molecular ecology and evolutionary genetics: comment on Breaking RAD by Lowry et al. (2016). (89 citations)
- Paralogs are revealed by proportion of heterozygotes and deviations in read ratios in genotyping-by-sequencing data from natural populations. (86 citations)
- Linkage mapping with paralogs exposes regions of residual tetrasomic inheritance in chum salmon (Oncorhynchus keta) (52 citations)
In her most recent research, the most cited papers focused on:
Her primary areas of study are Genome, Genetics, Evolutionary biology, Allele and Oncorhynchus.
She is interested in Ploidy, which is a field of Genetics.
Her Evolutionary biology study combines topics in areas such as Fish migration, Rainbow trout and Genetic architecture.
Her Allele research includes elements of Genome evolution, Locus, Gene duplication, Genetic variation and Transposable element.
Lisa W. Seeb focuses mostly in the field of Locus, narrowing it down to topics relating to Allele frequency and, in certain cases, Genotyping, DNA sequencing and Computational biology.
Her research integrates issues of Quantitative trait locus, Genetic linkage and Fishery in her study of Oncorhynchus.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
