What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Computational biology, Genome, RNA and Gene.
Regulation of gene expression, Long non-coding RNA, Epigenetics, Intron and Transcriptome are subfields of Genetics in which his conducts study.
The various areas that he examines in his Regulation of gene expression study include SOX2OT, cDNA library, Gene expression, Serial analysis of gene expression and Small nucleolar RNA.
His Computational biology research is multidisciplinary, incorporating perspectives in Human genome, RNA interference, RNA splicing, Exon and Sequence analysis.
Marcel E. Dinger usually deals with Genome and limits it to topics linked to Transcription and Eukaryote, Protein biosynthesis and Developmental biology.
His studies in RNA integrate themes in fields like Chromatin, microRNA and Messenger RNA.
His most cited work include:
- Long non-coding RNAs: insights into functions (3651 citations)
- Specific expression of long noncoding RNAs in the mouse brain (892 citations)
- Non‐coding RNAs: regulators of disease (798 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genetics, Gene, Computational biology, Genome and RNA.
Regulation of gene expression, Long non-coding RNA, Human genome, RNA splicing and Intron are among the areas of Genetics where the researcher is concentrating his efforts.
His research in Gene focuses on subjects like Cancer research, which are connected to Cell cycle, MALAT1 and DNA repair.
His work carried out in the field of Computational biology brings together such families of science as Whole genome sequencing, Alternative splicing, Exon, Genomics and Microarray.
The concepts of his Genome study are interwoven with issues in Transcription, Regulatory sequence, ENCODE, DNA and Allele frequency.
The RNA study combines topics in areas such as Chromatin, Cancer, microRNA and Gene expression.
He most often published in these fields:
- Genetics (66.67%)
- Gene (42.91%)
- Computational biology (41.76%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (66.67%)
- Computational biology (41.76%)
- Whole genome sequencing (15.33%)
In recent papers he was focusing on the following fields of study:
Marcel E. Dinger spends much of his time researching Genetics, Computational biology, Whole genome sequencing, Gene and Genome.
Genetics is represented through his Phenotype, Phosphorylation, Immunity, TNFAIP3 and Human genome research.
The study incorporates disciplines such as Annotation, Non-coding RNA and Genomics in addition to Computational biology.
His Whole genome sequencing research is multidisciplinary, relying on both Microarray, Contig, Reference genome and Structural variation.
In general Gene, his work in DNA sequencing, Intron and Exon is often linked to Expression quantitative trait loci and Genome-wide association study linking many areas of study.
His Genome research includes elements of Human genetics, Allele frequency and Medical genetics.
Between 2018 and 2021, his most popular works were:
- RNAcentral: a hub of information for non-coding RNA sequences (82 citations)
- Overcoming challenges and dogmas to understand the functions of pseudogenes. (35 citations)
- Genome sequencing as a first-line genetic test in familial dilated cardiomyopathy (27 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Genome, Genetics, Gene, Medical genetics and Whole genome sequencing.
His Genome research integrates issues from Annotation, Transfer RNA, Disease and Allele frequency.
His work on Genetics deals in particular with Structural variation, Human genome, Immune system, Mutation and TNFAIP3.
His Gene study frequently draws connections between adjacent fields such as Computational biology.
His research integrates issues of Genome project, Nucleic acid and Function in his study of Computational biology.
His Medical genetics research is multidisciplinary, incorporating perspectives in Family medicine, Dementia, Public health, Genetic counseling and Human genetics.
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