What is he best known for?
The fields of study he is best known for:
J. Gregory Caporaso mainly focuses on Metagenomics, Computational biology, Genetics, Human microbiome and Ecology.
His work carried out in the field of Metagenomics brings together such families of science as Bioinformatics, Inflammatory bowel disease, Rare biosphere and Genomics.
J. Gregory Caporaso has researched Computational biology in several fields, including Amplicon sequencing and Genome, Illumina dye sequencing, Gene family.
In his study, which falls under the umbrella issue of Gene family, Marker gene is strongly linked to Earth Microbiome Project.
J. Gregory Caporaso works mostly in the field of Human microbiome, limiting it down to concerns involving Zoology and, occasionally, Healthy individuals and Range.
His Ecology research is multidisciplinary, relying on both Pyrosequencing and Botany.
His most cited work include:
- QIIME allows analysis of high-throughput community sequencing data (20576 citations)
- Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms (4683 citations)
- Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences (4407 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Microbiome, Ecology, Computational biology, Metagenomics and Microbial ecology.
His Microbiome study integrates concerns from other disciplines, such as Gut flora, Immunology, Internal medicine and Data science.
His study connects Microbial population biology and Ecology.
His biological study spans a wide range of topics, including Sinus, Genetics, Ribosomal RNA, Marker gene and DNA sequencing.
His work in Ribosomal RNA tackles topics such as Microbiology which are related to areas like Gene and Pyrosequencing.
His Metagenomics research incorporates themes from Evolutionary biology, Rare biosphere, Biome and Gene family.
He most often published in these fields:
- Microbiome (38.86%)
- Ecology (38.29%)
- Computational biology (24.00%)
What were the highlights of his more recent work (between 2017-2021)?
- Microbiome (38.86%)
- Computational biology (24.00%)
- Biological classification (4.00%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Microbiome, Computational biology, Biological classification, Microbial ecology and Artificial intelligence.
His work deals with themes such as Immunology, Disease, Physiology, Data science and Metagenomics, which intersect with Microbiome.
A large part of his Metagenomics studies is devoted to Human Microbiome Project.
His study in Computational biology is interdisciplinary in nature, drawing from both Sinus, Genome, Human microbiome and Host.
His Microbial ecology research includes themes of Cancer cell, Response to therapy and Multi centre.
His Marker gene study improves the overall literature in Genetics.
Between 2017 and 2021, his most popular works were:
- Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2043 citations)
- Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin (703 citations)
- Current understanding of the human microbiome. (542 citations)
In his most recent research, the most cited papers focused on:
J. Gregory Caporaso spends much of his time researching Microbiome, Data science, Human microbiome, Metagenomics and Plug-in.
J. Gregory Caporaso works mostly in the field of Microbiome, limiting it down to topics relating to Systems biology and, in certain cases, Cancer cell, Microbial ecology, Response to therapy and Cancer.
His studies deal with areas such as Visualization, Scalability and Shotgun metagenomics as well as Data science.
His Human microbiome study combines topics from a wide range of disciplines, such as Genome, Computational biology and Medical education.
His Computational biology research is multidisciplinary, incorporating perspectives in Precision medicine, Gene family, Species level, Functional profiling and Profiling.
His study in Metagenomics focuses on Human Microbiome Project in particular.
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