What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Evolutionary biology, Haplotype, Genome and Human genome.
His studies in Copy-number variation, Genomics, Y chromosome, Genetic variation and Allele frequency are all subfields of Genetics research.
His Genomics research is multidisciplinary, incorporating elements of APOBEC3A, Computational biology, Eastern gorilla and 1000 Genomes Project.
His studies in Evolutionary biology integrate themes in fields like Diversity, Human evolutionary genetics, Ancient DNA, Variation and Biological dispersal.
His Haplotype research incorporates elements of Microsatellite and Population genetics.
Chris Tyler-Smith focuses mostly in the field of Human genome, narrowing it down to topics relating to DNA sequencing and, in certain cases, Chromosome.
His most cited work include:
- A global reference for human genetic variation. (7825 citations)
- Global variation in copy number in the human genome (3626 citations)
- Origins and functional impact of copy number variation in the human genome (1576 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Genetics, Y chromosome, Evolutionary biology, Haplotype and Haplogroup.
His Genetics study frequently intersects with other fields, such as Population genetics.
His Y chromosome research focuses on Centromere and how it relates to Molecular biology and Satellite DNA.
The Evolutionary biology study combines topics in areas such as Genetic diversity, Diversity, Variation, Biological dispersal and Genetic variation.
Chris Tyler-Smith interconnects Phylogenetics, Mitochondrial DNA, Allele frequency and Single-nucleotide polymorphism in the investigation of issues within Haplotype.
The concepts of his Haplogroup study are interwoven with issues in Phylogeography, Lineage and Phylogenetic tree.
He most often published in these fields:
- Genetics (61.42%)
- Y chromosome (29.70%)
- Evolutionary biology (26.14%)
What were the highlights of his more recent work (between 2015-2021)?
- Evolutionary biology (26.14%)
- Genetics (61.42%)
- Genome (13.45%)
In recent papers he was focusing on the following fields of study:
Chris Tyler-Smith focuses on Evolutionary biology, Genetics, Genome, Y chromosome and Haplogroup.
His research in Evolutionary biology intersects with topics in Genetic diversity, Diversity, Neanderthal, Phylogeography and Genetic variation.
His study in Genomics, Gene, Human genome, 1000 Genomes Project and Mutation rate falls within the category of Genetics.
His studies in 1000 Genomes Project integrate themes in fields like Microsatellite and Computational biology.
His Y chromosome research includes elements of Genealogy, Biological dispersal and Copy-number variation.
His Haplogroup study is concerned with the field of Haplotype as a whole.
Between 2015 and 2021, his most popular works were:
- The Simons Genome Diversity Project: 300 genomes from 142 diverse populations (684 citations)
- Ancient DNA and the rewriting of human history: be sparing with Occam's razor. (461 citations)
- BCFtools/RoH: a hidden Markov model approach for detecting autozygosity from next-generation sequencing data (241 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Genetics, Evolutionary biology, Genome, Y chromosome and Genomics.
The Genetics study combines topics in areas such as Human migration and Population genetics.
The concepts of his Evolutionary biology study are interwoven with issues in Haplogroup, Whole genome sequencing, Mitochondrial DNA, Biological dispersal and Genetic variation.
His Genetic variation research is multidisciplinary, relying on both Human genetic variation and Neanderthal.
His Genome study integrates concerns from other disciplines, such as Exome, DNA sequencing and Demographic history.
His Genomics research is multidisciplinary, incorporating elements of Imputation, Genome-wide association study, Human genetics and Heritability.
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.
