What is she best known for?
The fields of study she is best known for:
Her primary areas of investigation include Genetics, Genome, Gene, Triticeae and Sequence analysis.
Her work is connected to Genetic marker, Locus, Gene mapping, Genome project and Haplotype, as a part of Genetics.
Her biological study spans a wide range of topics, including Evolutionary biology and Genotype.
Her studies deal with areas such as Computational biology and DNA sequencing as well as Genome.
Her research in Computational biology intersects with topics in Molecular Sequence Annotation and Genomics.
She focuses mostly in the field of Triticeae, narrowing it down to topics relating to Hordeum vulgare and, in certain cases, Synteny, Aegilops speltoides, Secale and Microsatellite.
Her most cited work include:
- Shifting the limits in wheat research and breeding using a fully annotated reference genome (1066 citations)
- Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array (995 citations)
- Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array (995 citations)
What are the main themes of her work throughout her whole career to date?
Catherine Feuillet mainly focuses on Genetics, Genome, Gene, Chromosome and Genomics.
Her is involved in several facets of Genetics study, as is seen by her studies on Locus, Gene mapping, Genetic marker, Plant disease resistance and Triticeae.
Her Genetic marker research is multidisciplinary, incorporating elements of Genetic diversity, Introgression and Single-nucleotide polymorphism, Restriction fragment length polymorphism, Genotype.
Catherine Feuillet combines subjects such as Computational biology and DNA sequencing with her study of Genome.
Her Chromosome research is multidisciplinary, incorporating perspectives in Microsatellite, Genotyping and Bacterial artificial chromosome.
Her Synteny study incorporates themes from Evolutionary biology and Gene Annotation.
She most often published in these fields:
- Genetics (83.85%)
- Genome (66.92%)
- Gene (46.15%)
What were the highlights of her more recent work (between 2013-2018)?
- Genetics (83.85%)
- Genome (66.92%)
- Chromosome (30.77%)
In recent papers she was focusing on the following fields of study:
Genetics, Genome, Chromosome, Gene and Reference genome are her primary areas of study.
Her Genetics study often links to related topics such as Evolutionary biology.
Her studies in Evolutionary biology integrate themes in fields like Genetic diversity, Genetic marker, Haplotype, Genotype and Genetic variation.
Her Genome study frequently links to related topics such as Computational biology.
Her Chromosome research focuses on Bacterial artificial chromosome and how it relates to Pseudogene.
Her Reference genome research incorporates elements of Genome evolution and Transposable element.
Between 2013 and 2018, her most popular works were:
- Shifting the limits in wheat research and breeding using a fully annotated reference genome (1066 citations)
- Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array (995 citations)
- Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array (995 citations)
In her most recent research, the most cited papers focused on:
Catherine Feuillet mostly deals with Genome, Genetics, Computational biology, Gene and Reference genome.
Her Genomics and Whole genome sequencing study are her primary interests in Genome.
Her studies in SNP genotyping, Genotyping and Single-nucleotide polymorphism are all subfields of Genetics research.
Her research integrates issues of Evolutionary biology, Genetic variation, Genetic marker and Haplotype in her study of SNP genotyping.
Her Computational biology study combines topics from a wide range of disciplines, such as Quantitative trait locus, Human genetics and DNA sequencing.
Her work deals with themes such as Chromosome and Genome project, which intersect with Reference genome.
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