What is he best known for?
The fields of study he is best known for:
Manolis Kellis mainly focuses on Genetics, Genome, Computational biology, Human genome and Gene.
His Genetics and Genomics, Chromatin, Epigenomics, ENCODE and Functional genomics investigations all form part of his Genetics research activities.
His Genomics study combines topics in areas such as Point mutation, Molecular evolution, Conserved sequence and Drosophila Protein.
His Genome study combines topics from a wide range of disciplines, such as Sexual reproduction and Candida albicans.
His studies in Computational biology integrate themes in fields like Annotation, Coding region, Chromothripsis, Enhancer and Massive parallel sequencing.
His Human genome research incorporates elements of Genome evolution, Ensembl, Regulation of gene expression, Human genetics and Molecular Sequence Annotation.
His most cited work include:
- The Genotype-Tissue Expression (GTEx) project (3925 citations)
- Integrative analysis of 111 reference human epigenomes (3776 citations)
- Integrative analysis of 111 reference human epigenomes (3776 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Genetics, Computational biology, Gene, Genome and Chromatin.
Human genome, Regulation of gene expression, Genome-wide association study, ENCODE and Conserved sequence are the core of his Genetics study.
His Genome-wide association study research incorporates themes from Quantitative trait locus, Expression quantitative trait loci and Genetic association.
As a part of the same scientific study, Manolis Kellis usually deals with the Computational biology, concentrating on Epigenomics and frequently concerns with Epigenome.
The various areas that Manolis Kellis examines in his Genome study include Evolutionary biology, Phylogenetics and Regulatory sequence.
His work in Chromatin addresses subjects such as Cell biology, which are connected to disciplines such as RNA.
He most often published in these fields:
- Genetics (76.03%)
- Computational biology (60.96%)
- Gene (51.03%)
What were the highlights of his more recent work (between 2019-2021)?
- Computational biology (60.96%)
- Gene (51.03%)
- Genome (42.12%)
In recent papers he was focusing on the following fields of study:
Manolis Kellis spends much of his time researching Computational biology, Gene, Genome, Severe acute respiratory syndrome coronavirus 2 and Disease.
His studies deal with areas such as Epitope, Epigenomics, Ribosome profiling and Genomics as well as Computational biology.
He has researched Epigenomics in several fields, including Chromatin, Enhancer, Epigenetics and Single-nucleotide polymorphism.
His work carried out in the field of Gene brings together such families of science as Cell and Selection.
When carried out as part of a general Genome research project, his work on Comparative genomics is frequently linked to work in Bumblebee, therefore connecting diverse disciplines of study.
His Genome-wide association study research entails a greater understanding of Genetics.
Between 2019 and 2021, his most popular works were:
- Pan-cancer analysis of whole genomes (538 citations)
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (238 citations)
- Expanded encyclopaedias of DNA elements in the human and mouse genomes (141 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Computational biology, Genome, Gene, Chromatin and Severe acute respiratory syndrome coronavirus 2.
He combines subjects such as Epitope, Proteome, Transcriptome and Huntingtin with his study of Computational biology.
He works in the field of Genome, focusing on Genomics in particular.
His biological study spans a wide range of topics, including Context, Germline mutation, ENCODE and DNA methylation.
His Gene research includes elements of Proteostasis and Disease.
His research investigates the connection with Chromatin and areas like Epigenomics which intersect with concerns in Epigenetics, Neuroscience and Epigenome.
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