What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Genome, Gene, Human genome and Genomics.
His is involved in several facets of Genetics study, as is seen by his studies on Phylogenetics, Pseudogene, Sequence analysis, Takifugu rubripes and Genetic variation.
Gustavo Glusman has included themes like Data science and DNA sequencing in his Genome study.
His Gene study combines topics in areas such as Smell Perception and Database.
His Genomics research incorporates elements of Genetic diversity, Genetic divergence, Antigen and MHC class I, MHC Class I Gene.
In his work, Computational biology is strongly intertwined with Synteny, which is a subfield of Genome evolution.
His most cited work include:
- Initial sequencing and comparative analysis of the mouse genome. (5789 citations)
- Initial sequence of the chimpanzee genome and comparison with the human genome (1915 citations)
- Whole-genome shotgun assembly and analysis of the genome of Fugu rubripes. (1363 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Genetics, Genome, Gene, Computational biology and Genomics.
His study involves Human genome, Pseudogene, Gene family, Locus and Sequence analysis, a branch of Genetics.
His work in Genome tackles topics such as Haplotype which are related to areas like Chromosomal region, Mutation and Age of onset.
His work carried out in the field of Computational biology brings together such families of science as Interspersed repeat, Fingerprint, Computational genomics and Genotype.
His study in the fields of Comparative genomics under the domain of Genomics overlaps with other disciplines such as Software.
Gustavo Glusman frequently studies issues relating to Genome evolution and Reference genome.
He most often published in these fields:
- Genetics (52.85%)
- Genome (27.64%)
- Gene (23.58%)
What were the highlights of his more recent work (between 2017-2021)?
- Computational biology (23.58%)
- Genetics (52.85%)
- Borrelia burgdorferi (4.07%)
In recent papers he was focusing on the following fields of study:
Gustavo Glusman mostly deals with Computational biology, Genetics, Borrelia burgdorferi, Big data and Lyme disease.
His Computational biology research is multidisciplinary, incorporating perspectives in Single-nucleotide polymorphism, Genotype, Computational genomics and Genetic testing.
His is doing research in Whole genome sequencing, Single mutation, Mutation, Allele and De novo mutations, both of which are found in Genetics.
Whole genome sequencing is a subfield of Gene that Gustavo Glusman investigates.
His biological study spans a wide range of topics, including Blood proteins, Borrelia and Antibody.
In his articles, Gustavo Glusman combines various disciplines, including Genome and Benchmarking.
Between 2017 and 2021, his most popular works were:
- Genomic and molecular characterization of preterm birth. (25 citations)
- Taking Systems Medicine to Heart. (17 citations)
- Reproducible big data science: A case study in continuous FAIRness. (14 citations)
In his most recent research, the most cited papers focused on:
Gustavo Glusman mainly focuses on Data mining, Big data, Normalization, Threshold curve and R package.
Among his research on Data mining, you can see a combination of other fields of science like Software, Heuristic, Pipeline and Correctness.
His research integrates issues of Analytics, Data science and Interoperability in his study of Big data.
The Database normalization research Gustavo Glusman does as part of his general Normalization study is frequently linked to other disciplines of science, such as Future studies, therefore creating a link between diverse domains of science.
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