What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Chromatin, Genome, Epigenomics and Computational biology.
His Genetics study focuses mostly on Human genome, DNA methylation, Gene, Regulation of gene expression and Enhancer.
His Chromatin study often links to related topics such as Chromosome conformation capture.
His work on Genomics and Genome evolution as part of his general Genome study is frequently connected to Conserved sequence, thereby bridging the divide between different branches of science.
Bing Ren has researched Epigenomics in several fields, including 5-Methylcytosine, 5-Hydroxymethylcytosine, Cell biology, Transcription and Epigenome.
While the research belongs to areas of Computational biology, Bing Ren spends his time largely on the problem of Nucleosome, intersecting his research to questions surrounding Gene regulatory network and Drosophila Protein.
His most cited work include:
- Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
- Topological domains in mammalian genomes identified by analysis of chromatin interactions (4076 citations)
- Topological domains in mammalian genomes identified by analysis of chromatin interactions (4076 citations)
What are the main themes of his work throughout his whole career to date?
Bing Ren mainly focuses on Chromatin, Genetics, Computational biology, Genome and Gene.
His Chromatin research includes themes of Enhancer, Gene expression, Histone and Cell biology.
His study in Human genome, Epigenomics, Epigenetics, Regulation of gene expression and Transcription factor falls under the purview of Genetics.
The Epigenetics study which covers DNA methylation that intersects with Methylation.
He combines subjects such as Cell, Cell type, Chromatin immunoprecipitation, Genomics and Chromosome conformation capture with his study of Computational biology.
In the field of Genome, his study on Genomic organization, Whole genome sequencing and Genome evolution overlaps with subjects such as Conserved sequence.
He most often published in these fields:
- Chromatin (69.60%)
- Genetics (57.96%)
- Computational biology (46.32%)
What were the highlights of his more recent work (between 2019-2021)?
- Chromatin (69.60%)
- Computational biology (46.32%)
- Cell biology (37.05%)
In recent papers he was focusing on the following fields of study:
Chromatin, Computational biology, Cell biology, Enhancer and Gene are his primary areas of study.
His Chromatin research incorporates themes from Embryonic stem cell, Gene expression, DNA methylation, Epigenetics and Transcription.
His Computational biology study combines topics from a wide range of disciplines, such as Cell, Cell type, Single-cell analysis, Epigenomics and ATAC-seq.
Bing Ren has included themes like Promoter, Regulation of gene expression, Disease and Human brain in his Enhancer study.
His Gene study integrates concerns from other disciplines, such as DNA and Bioinformatics.
His Genome study introduces a deeper knowledge of Genetics.
Between 2019 and 2021, his most popular works were:
- Single-cell multimodal omics: the power of many. (76 citations)
- SnapATAC: A Comprehensive Analysis Package for Single Cell ATAC-seq (54 citations)
- SnapATAC: A Comprehensive Analysis Package for Single Cell ATAC-seq (54 citations)
In his most recent research, the most cited papers focused on:
Bing Ren spends much of his time researching Chromatin, Computational biology, Cell type, Cell and Epigenomics.
His Chromatin research integrates issues from CTCF, Transcription, Binding site and Cell biology.
His work in Binding site addresses subjects such as Promoter, which are connected to disciplines such as Cohesin complex, Regulation of gene expression and Enhancer.
His Computational biology research is multidisciplinary, incorporating perspectives in Omics, Multicellular organism and Genomics.
His work deals with themes such as Olfactory bulb and Gene, which intersect with Cell type.
The subject of his Epigenomics research is within the realm of DNA methylation.
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