What is he best known for?
The fields of study he is best known for:
James C. Mullikin mainly focuses on Genetics, Genome, Human genome, Genomics and Evolutionary biology.
His research combines Computational biology and Genome.
His Computational biology research incorporates elements of Genome evolution, Functional genomics, GENCODE, Hybrid genome assembly and DNase-Seq.
His studies in Hybrid genome assembly integrate themes in fields like DNA sequencing theory and Cancer genome sequencing.
The study incorporates disciplines such as Structural variation, Recent African origin of modern humans, ENCODE, Reference genome and Exome in addition to Human genome.
His Genomics research is multidisciplinary, relying on both Lineage and Systems biology.
His most cited work include:
- Initial sequencing and analysis of the human genome. (18816 citations)
- Initial sequencing and comparative analysis of the mouse genome. (5789 citations)
- A haplotype map of the human genome (5144 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Genome, Gene, Exome sequencing and Human genome.
His research links Computational biology with Genetics.
His Computational biology research is multidisciplinary, incorporating perspectives in Sequence alignment, DNA microarray, Hybrid genome assembly, RNA splicing and Sequence.
His studies link Evolutionary biology with Genome.
His work focuses on many connections between Exome sequencing and other disciplines, such as Germline mutation, that overlap with his field of interest in Molecular biology.
His research on Human genome frequently connects to adjacent areas such as Structural variation.
He most often published in these fields:
- Genetics (63.64%)
- Genome (24.88%)
- Gene (23.92%)
What were the highlights of his more recent work (between 2017-2021)?
- Genetics (63.64%)
- Genome (24.88%)
- Gene (23.92%)
In recent papers he was focusing on the following fields of study:
Genetics, Genome, Gene, Computational biology and Exome sequencing are his primary areas of study.
His research in Genetics focuses on subjects like Age of onset, which are connected to Trinucleotide repeat expansion.
James C. Mullikin has researched Genome in several fields, including Evolutionary biology and Sequence analysis.
His study on Genome evolution, Synteny, Gene duplication and Comparative genomics is often connected to Common goldfish as part of broader study in Gene.
James C. Mullikin interconnects Human genome, Pseudoautosomal region, Nanopore sequencing, Reference genome and Telomere assembly in the investigation of issues within Computational biology.
His studies deal with areas such as Genetic counseling and Genetic variation as well as Exome sequencing.
Between 2017 and 2021, his most popular works were:
- Telomere-to-telomere assembly of a complete human X chromosome. (126 citations)
- A robust benchmark for detection of germline large deletions and insertions. (54 citations)
- Mutations that prevent caspase cleavage of RIPK1 cause autoinflammatory disease (53 citations)
In his most recent research, the most cited papers focused on:
James C. Mullikin mostly deals with Genome, Computational biology, Telomere assembly, Nanopore sequencing and Reference genome.
The study of Genome is intertwined with the study of Sequence assembly in a number of ways.
His Computational biology research is multidisciplinary, incorporating elements of Personal Genome Project and Germline.
James C. Mullikin combines subjects such as Manual curation, Base pair, DNA, Concordance and Structural variant with his study of Germline.
The Telomere assembly study combines topics in areas such as Human genome, Pseudoautosomal region, X chromosome, Human genetics and Tandem repeat.
His study brings together the fields of Segmental duplication and Nanopore sequencing.
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