What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genetics, Genome-wide association study, Computational biology, Haplotype and Human genome.
In his research on the topic of Genetics, Genetic variation is strongly related with Evolutionary biology.
His biological study spans a wide range of topics, including Multiple sclerosis, Immunology, Allele frequency, Genetic association and Imputation.
His research in Computational biology tackles topics such as Genotype which are related to areas like Allele and Biobank.
The Human genome study combines topics in areas such as Genomics, DNA sequencing and 1000 Genomes Project.
His Genomics research incorporates themes from Inference, Population genetics and Projection.
His most cited work include:
- A Map of Human Genome Variation From Population-Scale Sequencing (6302 citations)
- An integrated map of genetic variation from 1,092 human genomes (6243 citations)
- Integrating common and rare genetic variation in diverse human populations (2251 citations)
What are the main themes of his work throughout his whole career to date?
Gil McVean mainly investigates Genetics, Genome, Computational biology, Genome-wide association study and Genetic variation.
His Genetics study frequently draws parallels with other fields, such as Population genetics.
His research in Computational biology intersects with topics in Biobank, Whole genome sequencing and Reference genome.
His Genome-wide association study research incorporates elements of Imputation, Allele, Allele frequency and Bioinformatics.
He interconnects Evolutionary biology and Genomics in the investigation of issues within Genetic variation.
His study looks at the relationship between Human genome and fields such as 1000 Genomes Project, as well as how they intersect with chemical problems.
He most often published in these fields:
- Genetics (73.01%)
- Genome (26.38%)
- Computational biology (32.52%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (32.52%)
- Genome (26.38%)
- Genetics (73.01%)
In recent papers he was focusing on the following fields of study:
Gil McVean mainly focuses on Computational biology, Genome, Genetics, Biobank and Malaria.
The concepts of his Computational biology study are interwoven with issues in De novo mutations and Reference genome.
His Genome study combines topics in areas such as Bayesian probability, Pathogen, Genetic variation and Selection.
His Plasmodium falciparum research extends to the thematically linked field of Genetics.
In his work, Genome-wide association study and Quantitative trait locus is strongly intertwined with Disease, which is a subfield of Biobank.
As a part of the same scientific study, Gil McVean usually deals with the Genomics, concentrating on Human genome and frequently concerns with Evolutionary biology.
Between 2018 and 2021, his most popular works were:
- Inferring whole-genome histories in large population datasets. (69 citations)
- Ultrafast search of all deposited bacterial and viral genomic data. (69 citations)
- Dating genomic variants and shared ancestry in population-scale sequencing data (29 citations)
In his most recent research, the most cited papers focused on:
Gil McVean mostly deals with Genome, Computational biology, Biobank, Disease and Epidemiology.
His Genome study improves the overall literature in Genetics.
His studies deal with areas such as Genome-wide association study, Inference, DNA sequencing and 1000 Genomes Project as well as Biobank.
His work deals with themes such as Chlamydia trachomatis, Immunology and Hepatitis, which intersect with Disease.
His studies in Epidemiology integrate themes in fields like Infectious disease, Plasmodium falciparum and Haplotype.
His work in Genomics addresses subjects such as Robustness, which are connected to disciplines such as Evolutionary biology.
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