What is he best known for?
The fields of study he is best known for:
His main research concerns Computational biology, Genetics, Genome, Human genome and Genomics.
His study in Computational biology is interdisciplinary in nature, drawing from both ENCODE, Reference genome, Chromatin, DNase-Seq and Robustness.
His Genome study contributes to a more complete understanding of Gene.
His Genomics research is multidisciplinary, incorporating perspectives in Sequence analysis and Database.
His Comparative genomics research includes elements of Annotation and Genome evolution.
His research integrates issues of Hybrid genome assembly, Contig, DNA sequencing theory, Cancer Genome Project and Personal genomics in his study of Chimpanzee genome project.
His most cited work include:
- Initial sequencing and analysis of the human genome. (18816 citations)
- The Human Genome Browser at UCSC (6999 citations)
- Initial sequencing and comparative analysis of the mouse genome. (5789 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Gene, Computational biology, Chromatin and Human genome.
Genome, ChIA-PET, Genomics, Genome project and Genome-wide association study are among the areas of Genetics where the researcher is concentrating his efforts.
The Whole genome sequencing, Synteny, Cancer genome sequencing and Chimpanzee genome project research Terrence S. Furey does as part of his general Genome study is frequently linked to other disciplines of science, such as Cell type, therefore creating a link between diverse domains of science.
Terrence S. Furey interconnects Genome browser, DNA binding site, ENCODE, DNase-Seq and Gene density in the investigation of issues within Computational biology.
His Chromatin research is multidisciplinary, incorporating elements of Chromatin immunoprecipitation, Transcription factor, Histone, Regulation of gene expression and Transcription.
His research on Human genome also deals with topics like
- Genome evolution which connect with Comparative genomics,
- Chromosome that connect with fields like Allele.
He most often published in these fields:
- Genetics (58.25%)
- Gene (33.01%)
- Computational biology (32.04%)
What were the highlights of his more recent work (between 2015-2021)?
- Chromatin (31.07%)
- Gene expression (15.53%)
- Gene (33.01%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Chromatin, Gene expression, Gene, Disease and Computational biology.
His Chromatin study introduces a deeper knowledge of Genetics.
His biological study spans a wide range of topics, including Inflammation, Immunology, microRNA, Cell biology and Paneth cell.
The study incorporates disciplines such as Phenotype, Genetic testing, Ileum and Bioinformatics in addition to Disease.
His research investigates the connection between Computational biology and topics such as Transcription factor that intersect with problems in Promoter.
His Epigenetics study combines topics from a wide range of disciplines, such as Genetic variability, Model organism and Genomics.
Between 2015 and 2021, his most popular works were:
- New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk (166 citations)
- Molecular classification of Crohn's disease reveals two clinically relevant subtypes (50 citations)
- A hidden Markov random field-based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data (41 citations)
In his most recent research, the most cited papers focused on:
Terrence S. Furey mostly deals with Chromatin, Genome-wide association study, Immunology, DNA binding site and Gene.
The Chromatin study combines topics in areas such as Causal Markov condition, Binding site, Chromosome conformation capture and Hidden Markov model, Pattern recognition.
DNA binding site is a subfield of Genetics that Terrence S. Furey explores.
His research in Gene intersects with topics in Case-control study and Bioinformatics.
In most of his Transposase studies, his work intersects topics such as Computational biology.
While working in this field, he studies both Computational biology and Supervised learning.
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