What is he best known for?
The fields of study he is best known for:
His primary areas of study are Genetics, Genome, Computational biology, Saccharomyces cerevisiae and Gene.
His Histone H3 and Gene expression profiling investigations are all subjects of Genetics research.
He has researched Genome in several fields, including ENCODE, Caenorhabditis elegans and Fungal protein.
His Computational biology research integrates issues from Biological data, Annotation, Saccharomyces genome database and Molecular Sequence Annotation.
In Saccharomyces cerevisiae, J. Michael Cherry works on issues like Genomic organization, which are connected to Locus, Chromosome, Genetic analysis, Gene mapping and Homology.
His research integrates issues of Budding yeast, Genome size, Shotgun sequencing and Bacterial artificial chromosome in his study of Whole genome sequencing.
His most cited work include:
- The genome sequence of Drosophila melanogaster (5233 citations)
- Annotation of functional variation in personal genomes using RegulomeDB (1672 citations)
- GO: :TermFinder---open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes (1476 citations)
What are the main themes of his work throughout his whole career to date?
J. Michael Cherry spends much of his time researching Genome, Computational biology, Genetics, Gene and Saccharomyces cerevisiae.
His study in Annotation extends to Genome with its themes.
J. Michael Cherry interconnects Controlled vocabulary, Gene ontology and Molecular Sequence Annotation in the investigation of issues within Annotation.
His studies in Computational biology integrate themes in fields like Bioinformatics, ENCODE, Saccharomyces genome database, Whole genome sequencing and Chromatin.
His research on ENCODE also deals with topics like
- Information retrieval most often made with reference to Metadata,
- Encyclopedia which is related to area like World Wide Web, Software and Web page.
Many of his studies on Genetics involve topics that are commonly interrelated, such as The Internet.
He most often published in these fields:
- Genome (45.52%)
- Computational biology (44.78%)
- Genetics (36.57%)
What were the highlights of his more recent work (between 2016-2021)?
- Computational biology (44.78%)
- Genome (45.52%)
- ENCODE (17.16%)
In recent papers he was focusing on the following fields of study:
J. Michael Cherry focuses on Computational biology, Genome, ENCODE, Gene and Genomics.
J. Michael Cherry has included themes like Chromatin, Saccharomyces genome database, Saccharomyces cerevisiae and Bioinformatics in his Computational biology study.
His work on Saccharomyces as part of general Saccharomyces cerevisiae study is frequently linked to Hierarchical organization, therefore connecting diverse disciplines of science.
The Genome study combines topics in areas such as RNA-Seq and Data science.
The various areas that J. Michael Cherry examines in his ENCODE study include Epigenomics, Metadata, Encyclopedia and Genomic data.
To a larger extent, J. Michael Cherry studies Genetics with the aim of understanding Histone.
Between 2016 and 2021, his most popular works were:
- The Encyclopedia of DNA elements (ENCODE): data portal update (633 citations)
- Evaluating the Clinical Validity of Gene-Disease Associations: An Evidence-Based Framework Developed by the Clinical Genome Resource (192 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:
J. Michael Cherry spends much of his time researching Computational biology, Genome, Chromatin, ENCODE and Non-coding RNA.
As part of the same scientific family, he usually focuses on Computational biology, concentrating on Gene and intersecting with Annotation.
J. Michael Cherry interconnects Data modeling, Context, Organism, Data access and Workflow in the investigation of issues within Genome.
His work deals with themes such as Visualization, World Wide Web, Interface and Genomics, which intersect with ENCODE.
His study in Non-coding RNA is interdisciplinary in nature, drawing from both Genome browser, Transfer RNA and Nucleic acid.
His Histone study is focused on Genetics in general.
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