What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Transcription factor, Gene, Human genome and Genome.
His work on Genetics is being expanded to include thematically relevant topics such as Computational biology.
His research in Transcription factor intersects with topics in Database, Chromatin immunoprecipitation, Transcription, Binding site and Gene regulatory network.
His study in the field of Regulatory sequence, Promoter, Regulation of gene expression and Gene expression is also linked to topics like Antioxidant Response Elements.
His studies deal with areas such as Phylogenetic footprinting and Transcriptional regulation as well as Human genome.
His research integrates issues of DNA footprinting, Sequence analysis and Bioinformatics in his study of Phylogenetic footprinting.
His most cited work include:
- JASPAR: an open‐access database for eukaryotic transcription factor binding profiles (1373 citations)
- The clonal and mutational evolution spectrum of primary triple-negative breast cancers (1368 citations)
- A promoter-level mammalian expression atlas (1307 citations)
What are the main themes of his work throughout his whole career to date?
Wyeth W. Wasserman mainly investigates Genetics, Gene, Computational biology, Genome and Transcription factor.
His study involves Human genome, Regulatory sequence, DNA binding site, Exome sequencing and Gene expression profiling, a branch of Genetics.
The Human genome study combines topics in areas such as Phylogenetic footprinting and DNA.
His Computational biology study integrates concerns from other disciplines, such as Conserved sequence, Genomics, Enhancer, Cap analysis gene expression and DNA microarray.
His Genome research includes themes of DNA footprinting and DNA sequencing.
The study incorporates disciplines such as Database, Binding site and Gene regulatory network in addition to Transcription factor.
He most often published in these fields:
- Genetics (42.11%)
- Gene (38.35%)
- Computational biology (35.34%)
What were the highlights of his more recent work (between 2018-2021)?
- Gene (38.35%)
- Computational biology (35.34%)
- Promoter (15.04%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Gene, Computational biology, Promoter, Genome and Transcription factor.
His research on Gene concerns the broader Genetics.
His Computational biology study combines topics in areas such as Transcriptome, Transcription, Sequencing data and Disease.
His Promoter study combines topics from a wide range of disciplines, such as DNA and CpG site.
His Transcription factor research incorporates elements of Transfer of learning, Machine learning, Deep learning and Artificial intelligence.
Wyeth W. Wasserman has researched Human genome in several fields, including Plasma protein binding, Data mining, Linkage disequilibrium, DNA sequencing and Binding site.
Between 2018 and 2021, his most popular works were:
- JASPAR 2020: update of the open-access database of transcription factor binding profiles (303 citations)
- Glutaminase deficiency caused by short tandem repeat expansion in GLS (25 citations)
- PLPHP deficiency: clinical, genetic, biochemical, and mechanistic insights (22 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Gene, Computational biology, Disease, Transcription factor and Allele.
His Gene study integrates concerns from other disciplines, such as Retinal ganglion cell, Retinal and Retinal ganglion.
His Computational biology research integrates issues from Bioconductor and Genome.
His Transcription factor research incorporates themes from DNA binding site, Transcription and Pathogenicity.
Genetics covers Wyeth W. Wasserman research in Allele.
While working in this field, Wyeth W. Wasserman studies both Genetics and Glutaminase.
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