What is he best known for?
The fields of study he is best known for:
David S. Horner focuses on Genetics, Genome, Gene, Hydrogenosome and Phylogenetics.
His Genome study integrates concerns from other disciplines, such as Botany and DNA sequencing.
His DNA sequencing research includes elements of Gene duplication, Whole genome sequencing, Monocotyledon and Plant evolution.
In his study, which falls under the umbrella issue of Hydrogenosome, Mitochondrial respiratory chain, Desulfovibrio vulgaris, Sequence alignment and Spironucleus is strongly linked to Hydrogenase.
His study explores the link between Phylogenetics and topics such as Ferredoxin that cross with problems in Saccharomyces cerevisiae and Phylogenetic tree.
David S. Horner interconnects Sanger sequencing, RNA, RNA editing and Deep sequencing in the investigation of issues within Genomics.
His most cited work include:
- The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla. (2586 citations)
- The high-quality draft genome of peach ( Prunus persica ) identifies unique patterns of genetic diversity, domestication and genome evolution (678 citations)
- Molecular and Phylogenetic Analyses of the Complete MADS-Box Transcription Factor Family in Arabidopsis: New Openings to the MADS World (572 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Gene, Genome, Computational biology and Phylogenetics.
Gene is a subfield of Biochemistry that David S. Horner explores.
Genome connects with themes related to DNA sequencing in his study.
As a part of the same scientific study, he usually deals with the Computational biology, concentrating on Transcriptome and frequently concerns with RNA editing.
His studies in Phylogenetics integrate themes in fields like Evolutionary biology and Phylogenetic tree.
David S. Horner has researched Horizontal gene transfer in several fields, including Diplomonad and Genome evolution.
He most often published in these fields:
- Genetics (41.79%)
- Gene (35.07%)
- Genome (35.82%)
What were the highlights of his more recent work (between 2017-2021)?
- Genome (35.82%)
- Computational biology (27.61%)
- Gene (35.07%)
In recent papers he was focusing on the following fields of study:
David S. Horner mainly focuses on Genome, Computational biology, Gene, Genetics and Transcriptome.
His Genome research is multidisciplinary, incorporating elements of Convergent evolution and Sequence assembly.
His Computational biology study combines topics from a wide range of disciplines, such as Annotation, microRNA and DNA sequencing.
DNA sequencing is frequently linked to Whole genome sequencing in his study.
His research in Gene intersects with topics in Dementia, Disease, Hippocampus and DNA.
In his research, David S. Horner performs multidisciplinary study on Genetics and Ovule.
Between 2017 and 2021, his most popular works were:
- Design of a Broad-Range Bacteriophage Cocktail That Reduces Pseudomonas aeruginosa Biofilms and Treats Acute Infections in Two Animal Models. (85 citations)
- Whole transcriptome profiling of Late-Onset Alzheimer's Disease patients provides insights into the molecular changes involved in the disease. (38 citations)
- Whole transcriptome profiling of Late-Onset Alzheimer's Disease patients provides insights into the molecular changes involved in the disease. (38 citations)
In his most recent research, the most cited papers focused on:
David S. Horner mainly focuses on Computational biology, Genome, Gene, microRNA and DNA sequencing.
His work deals with themes such as Annotation, Convergent evolution and Human genome, which intersect with Computational biology.
His Genome research is multidisciplinary, relying on both Rustica and Sequence assembly.
When carried out as part of a general Gene research project, his work on Transcriptome, Phenotype and Horizontal gene transfer is frequently linked to work in Spodoptera, therefore connecting diverse disciplines of study.
The study incorporates disciplines such as RNA editing, Hippocampal formation, Dementia, Disease and Hippocampus in addition to microRNA.
His DNA sequencing research includes themes of Hirundo, Personal genomics, Whole genome sequencing and Population genetics.
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