What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genetics, Genome, Genomics, Computational biology and Human genome.
His Genome study combines topics in areas such as Evolutionary biology and ENCODE.
His Genomics research includes themes of Exome sequencing, Sequence analysis, Reference genome and Copy-number variation.
His research in Computational biology tackles topics such as 1000 Genomes Project which are related to areas like Genetic association, Genetic variation, Genome-wide association study and Human genetic variation.
His studies in Human genome integrate themes in fields like Conserved non-coding sequence, Conserved sequence, Systems biology, Pseudogene and Human genetics.
His work carried out in the field of Epigenetics brings together such families of science as Genomic Profile, Cancer genome and Medical genetics.
His most cited work include:
- Initial sequencing and analysis of the human genome. (18816 citations)
- A global reference for human genetic variation. (7825 citations)
- A global reference for human genetic variation. (7825 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genome, Genetics, Computational biology, Genomics and Human genome.
His work deals with themes such as Evolutionary biology and ENCODE, which intersect with Genome.
His Genetics and Gene, Sequence alignment, Genome evolution, DNA and DNA sequencing investigations all form part of his Genetics research activities.
David Haussler has researched Computational biology in several fields, including Phylogenetic tree, RNA, Whole genome sequencing, Sequence assembly and Hidden Markov model.
He has included themes like Cancer, Bioinformatics, Set, World Wide Web and Visualization in his Genomics study.
His Genome browser research incorporates themes from Annotation and Database.
He most often published in these fields:
- Genome (38.08%)
- Genetics (30.25%)
- Computational biology (30.07%)
What were the highlights of his more recent work (between 2017-2021)?
- Computational biology (30.07%)
- Genome (38.08%)
- Genomics (26.51%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Computational biology, Genome, Genomics, Pediatric cancer and Gene.
His Computational biology study integrates concerns from other disciplines, such as Personal genomics, Human genome, Sequencing data, T cell and Major histocompatibility complex.
His research integrates issues of Annotation, Nanopore sequencing and Sequence assembly in his study of Human genome.
The study incorporates disciplines such as Evolutionary biology, Phylogenetics and Phylogenetic tree in addition to Genome.
His study in the fields of Functional genomics under the domain of Genomics overlaps with other disciplines such as Chromothripsis.
David Haussler focuses mostly in the field of Gene, narrowing it down to topics relating to Cancer research and, in certain cases, Epithelial–mesenchymal transition and Neuroblastoma.
Between 2017 and 2021, his most popular works were:
- Pan-cancer analysis of whole genomes (538 citations)
- The UCSC Genome Browser database: 2019 update. (386 citations)
- The UCSC Genome Browser database: 2018 update. (351 citations)
In his most recent research, the most cited papers focused on:
David Haussler focuses on Genome, Computational biology, Genomics, Human genome and Evolutionary biology.
His studies examine the connections between Genome and genetics, as well as such issues in Annotation, with regards to Molecular Sequence Annotation and CRISPR.
The Computational biology study combines topics in areas such as Germline mutation, No reference, Sequencing data, T cell and Personal genomics.
The concepts of his Genomics study are interwoven with issues in Phylogenetics, Data visualization, DNA methylation and Indel.
His Human genome research is multidisciplinary, incorporating elements of Nanopore sequencing and Sequence assembly.
David Haussler combines subjects such as Lineage and Comparative genomics with his study of Evolutionary biology.
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