What is he best known for?
The fields of study he is best known for:
His main research concerns Genetics, Genome, Gene, Single-nucleotide polymorphism and Botany.
Pete E. Hedley has included themes like Phytophthora capsici and Computational biology in his Genetics study.
His work is connected to Genomics and Structural variation, as a part of Genome.
His Genomics research incorporates themes from Bacterial artificial chromosome, Reference genome, Sequence assembly, Chromosome conformation capture and Triticeae.
As a part of the same scientific family, Pete E. Hedley mostly works in the field of Single-nucleotide polymorphism, focusing on Gene mapping and, on occasion, Genome-wide association study and Linkage disequilibrium.
His studies deal with areas such as Oxidative stress and Metabolome as well as Botany.
His most cited work include:
- A physical, genetic and functional sequence assembly of the barley genome (1072 citations)
- A chromosome conformation capture ordered sequence of the barley genome (697 citations)
- Unlocking the Barley Genome by Chromosomal and Comparative Genomics (383 citations)
What are the main themes of his work throughout his whole career to date?
Pete E. Hedley mainly focuses on Genetics, Gene, Botany, Genome and Gene expression.
Quantitative trait locus, Single-nucleotide polymorphism, Genomics, Gene mapping and Locus are subfields of Genetics in which his conducts study.
His work on Gene is being expanded to include thematically relevant topics such as Cell biology.
His Botany research includes elements of Domestication, Host and Crop.
His Genome research incorporates elements of Computational biology and Sequence assembly.
His study looks at the relationship between Gene expression and fields such as Molecular biology, as well as how they intersect with chemical problems.
He most often published in these fields:
- Genetics (39.61%)
- Gene (36.36%)
- Botany (23.38%)
What were the highlights of his more recent work (between 2018-2021)?
- Gene (36.36%)
- Host (9.74%)
- Computational biology (13.64%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Gene, Host, Computational biology, Transcriptome and Botany.
Gene is a subfield of Genetics that Pete E. Hedley explores.
Pete E. Hedley interconnects Effector, Phytophthora and Host adaptation in the investigation of issues within Host.
His Computational biology research is multidisciplinary, incorporating perspectives in RNA-Seq, Genome, Reference genome, Allele and Single-nucleotide polymorphism.
His Genome study integrates concerns from other disciplines, such as Bioinformatics analysis and Exome capture.
His work in the fields of Botany, such as Carotenoid, intersects with other areas such as Phytochrome.
Between 2018 and 2021, his most popular works were:
- A Comparison of Mainstream Genotyping Platforms for the Evaluation and Use of Barley Genetic Resources (17 citations)
- Physiological, Biochemical, and Transcriptional Responses to Single and Combined Abiotic Stress in Stress-Tolerant and Stress-Sensitive Potato Genotypes. (14 citations)
- BaRTv1.0: an improved barley reference transcript dataset to determine accurate changes in the barley transcriptome using RNA-seq. (14 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Gene, Computational biology, Host, Transcriptome and Cell biology.
His work on Gene deals in particular with DNA microarray and Untranslated region.
His research in Computational biology intersects with topics in Genome-wide association study, Allele frequency, Reference genome, SNP array and Genetic variation.
His Reference genome study is associated with Genome.
His Host study incorporates themes from Oomycete, Outbreak, Species diversity, Phytophthora and Woodland.
His work carried out in the field of Transcriptome brings together such families of science as Gene family, Function, Yeast and Protein–protein interaction.
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.
