What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Computational biology, Chromatin, Human genome and DNase-Seq.
His study in Enhancer, Gene, ChIA-PET, DNA methylation and DNA binding site falls within the category of Genetics.
His studies in Computational biology integrate themes in fields like RNA polymerase II, Sequence-tagged site and Genome.
His Chromatin research is multidisciplinary, relying on both Transcription factor and Genetic variation.
His research in Human genome intersects with topics in ENCODE and Functional genomics.
In his study, which falls under the umbrella issue of DNase-Seq, ATAC-seq is strongly linked to DNase I hypersensitive site.
His most cited work include:
- Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
- An integrated encyclopedia of DNA elements in the human genome (2642 citations)
- Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome. (2520 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Genetics, Chromatin, Gene, Computational biology and Transcription factor.
His is doing research in Regulation of gene expression, Enhancer, Human genome, Genome and Promoter, both of which are found in Genetics.
His research investigates the connection between Human genome and topics such as ENCODE that intersect with problems in DNA.
His Chromatin study incorporates themes from Epigenetics, Gene expression and Cell biology.
He combines subjects such as CRISPR, Genomics, Quantitative trait locus, Epigenomics and DNase-Seq with his study of Computational biology.
His Transcription factor research focuses on Transcription and how it connects with Transcriptome.
He most often published in these fields:
- Genetics (57.59%)
- Chromatin (51.90%)
- Gene (37.34%)
What were the highlights of his more recent work (between 2018-2021)?
- Chromatin (51.90%)
- Gene (37.34%)
- Computational biology (26.58%)
In recent papers he was focusing on the following fields of study:
Gregory E. Crawford mainly investigates Chromatin, Gene, Computational biology, Gene expression and Genome-wide association study.
His Chromatin study is concerned with the field of Genetics as a whole.
Gregory E. Crawford has researched Computational biology in several fields, including Expression quantitative trait loci, TF binding, Transcription factor and Chromatin immunoprecipitation.
The various areas that Gregory E. Crawford examines in his Transcription factor study include Tamoxifen and Human genome.
His research integrates issues of Regulation of gene expression, Genome, Epstein–Barr virus and Downregulation and upregulation in his study of Gene expression.
His study looks at the relationship between Genome-wide association study and fields such as Genetic association, as well as how they intersect with chemical problems.
Between 2018 and 2021, his most popular works were:
- Using three-dimensional regulatory chromatin interactions from adult and fetal cortex to interpret genetic results for psychiatric disorders and cognitive traits (30 citations)
- Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions. (15 citations)
- Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression (13 citations)
In his most recent research, the most cited papers focused on:
Gregory E. Crawford focuses on Gene, Genome-wide association study, Quantitative trait locus, Chromatin and Expression quantitative trait loci.
His Gene research incorporates elements of Evolutionary biology, Adipose tissue, White adipose tissue and Rhesus macaque.
Gregory E. Crawford has included themes like Regulation of gene expression and Gene expression in his Quantitative trait locus study.
His Regulation of gene expression study introduces a deeper knowledge of Genetics.
His Chromatin study combines topics in areas such as Enhancer and Lipid metabolism.
His studies examine the connections between Expression quantitative trait loci and genetics, as well as such issues in Computational biology, with regards to Schizophrenia.
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