What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genome, Genetics, Gene, Genome evolution and Gene density.
Granger G. Sutton has researched Genome in several fields, including Evolutionary biology, Thermophile and Metagenomics.
His research combines Computational biology and Genetics.
His work in the fields of Gene, such as Sequence analysis, Antigenic variation, Genomic organization and Nucleic acid sequence, intersects with other areas such as Mycoplasma genitalium.
His Gene density research is multidisciplinary, incorporating elements of Genome size, Shotgun sequencing, Reference genome and Bacterial artificial chromosome.
As part of the same scientific family, he usually focuses on Genomics, concentrating on Phylogenetics and intersecting with Drosophila Protein.
His most cited work include:
- The sequence of the human genome. (10608 citations)
- Structure, function and diversity of the healthy human microbiome (6128 citations)
- The genome sequence of Drosophila melanogaster (5233 citations)
What are the main themes of his work throughout his whole career to date?
Granger G. Sutton mostly deals with Genetics, Genome, Computational biology, Gene and Genomics.
His study in Genome project, Shotgun sequencing, Whole genome sequencing, Human genome and Reference genome falls within the category of Genetics.
Granger G. Sutton is studying Gene density, which is a component of Genome project.
He interconnects Evolutionary biology, Sequence analysis and Metagenomics in the investigation of issues within Genome.
His Computational biology research is multidisciplinary, relying on both Annotation, Protein family, Euchromatin, Sequence assembly and Gene Annotation.
His work on Pan-genome, Nucleic acid sequence and Antigenic variation as part of general Gene study is frequently connected to Mycoplasma genitalium, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He most often published in these fields:
- Genetics (50.81%)
- Genome (48.39%)
- Computational biology (29.03%)
What were the highlights of his more recent work (between 2016-2021)?
- Genome (48.39%)
- Computational biology (29.03%)
- Genetics (50.81%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Genome, Computational biology, Genetics, Microbiology and Gene.
His Genome research includes themes of Database and Metagenomics.
His studies deal with areas such as Genome project, Archaea, Sequence analysis and Reference genome as well as Metagenomics.
His Computational biology study integrates concerns from other disciplines, such as Domain, Genomics, InterProScan, Bacterial genome size and Orchestration.
His biological study spans a wide range of topics, including Subspecies and Genus.
In the subject of general Gene, his work in Pan-genome and Prokaryotic cells is often linked to Pipeline and Scale, thereby combining diverse domains of study.
Between 2016 and 2021, his most popular works were:
- InterPro in 2017-beyond protein family and domain annotations (946 citations)
- InterPro in 2019: improving coverage, classification and access to protein sequence annotations (703 citations)
- Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea (512 citations)
In his most recent research, the most cited papers focused on:
Granger G. Sutton mainly focuses on Genome, Metagenomics, Genetics, Whole genome sequencing and Computational biology.
Genome is the subject of his research, which falls under Gene.
His Metagenomics research incorporates elements of Genome project, Archaea, Sequence analysis and Reference genome.
His Genetics study frequently draws connections between related disciplines such as Subspecies.
His work deals with themes such as Gene Annotation, Contig, Locus and Sequence assembly, which intersect with Whole genome sequencing.
His Computational biology study incorporates themes from Domain, Annotation, Bioinformatics, Protein family and InterProScan.
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