What is he best known for?
The fields of study he is best known for:
His main research concerns Genetics, Genome, Computational biology, Genome project and Reference genome.
When carried out as part of a general Genome research project, his work on Human genome, Gene density and Genome evolution is frequently linked to work in Dicer and Drosha, therefore connecting diverse disciplines of study.
His work deals with themes such as Personal genomics, Hybrid genome assembly, Cancer genome sequencing, Genomics and Sequence assembly, which intersect with Computational biology.
His Personal genomics study integrates concerns from other disciplines, such as Exome sequencing, Chimpanzee genome project and Cancer Genome Project.
Chad Nusbaum works mostly in the field of Sequence assembly, limiting it down to concerns involving Assembly software and, occasionally, De novo transcriptome assembly, UniGene, RNA-Seq and Bacterial genome size.
His Genome project research incorporates themes from RNA and Shotgun sequencing.
His most cited work include:
- Initial sequencing and analysis of the human genome. (18816 citations)
- Full-length transcriptome assembly from RNA-Seq data without a reference genome. (10815 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, Genome, Computational biology, Gene and DNA sequencing.
In his study, Chad Nusbaum carries out multidisciplinary Genetics and Chromatin immunoprecipitation research.
His work investigates the relationship between Genome and topics such as Sequence assembly that intersect with problems in Assembly software.
His Computational biology study also includes
- Genome project which connect with Shotgun sequencing,
- Cancer genome sequencing which intersects with area such as Personal genomics,
- Hybrid genome assembly that intertwine with fields like DNA sequencing theory.
His work on Cellular differentiation as part of general Gene study is frequently connected to Gene dosage, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His research integrates issues of Structural variation, Population genetics and Sequence in his study of DNA sequencing.
He most often published in these fields:
- Genetics (51.35%)
- Genome (40.54%)
- Computational biology (31.08%)
What were the highlights of his more recent work (between 2016-2021)?
- Immunology (6.76%)
- Mass cytometry (5.41%)
- Computational biology (31.08%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Immunology, Mass cytometry, Computational biology, Cell and Immune system.
His Mass cytometry research includes themes of Molecular biology and Flow cytometry.
His Computational biology research is multidisciplinary, relying on both Structural variation, Genome, Population genetics and DNA sequencing.
His study on Genome is mostly dedicated to connecting different topics, such as Human genetics.
Many of his research projects under Cell are closely connected to Fibroblast with Fibroblast, tying the diverse disciplines of science together.
As a part of the same scientific family, he mostly works in the field of Immune system, focusing on Monocyte differentiation and, on occasion, Immunophenotyping.
Between 2016 and 2021, his most popular works were:
- Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry. (229 citations)
- The immune cell landscape in kidneys of patients with lupus nephritis (132 citations)
- A structural variation reference for medical and population genetics (125 citations)
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