What is he best known for?
The fields of study he is best known for:
Claude Thermes focuses on Genetics, Genome, Computational biology, DNA and Chromatin.
His work in Transcription, RNA, Origin of replication, Pre-replication complex and Library preparation is related to Genetics.
His Library preparation research incorporates themes from RNA-Seq, DNA sequencing theory, Genomics and Data science.
Claude Thermes works mostly in the field of Genome, limiting it down to topics relating to DNA sequencing and, in certain cases, Structural variation, as a part of the same area of interest.
His biological study spans a wide range of topics, including Eukaryotic transcription and Dna bending.
Claude Thermes combines subjects such as genomic DNA, Promoter and Histone with his study of Chromatin.
His most cited work include:
- Ten years of next-generation sequencing technology. (822 citations)
- XUTs are a class of Xrn1-sensitive antisense regulatory non-coding RNA in yeast (296 citations)
- Novel long non-protein coding RNAs involved in Arabidopsis differentiation and stress responses (294 citations)
What are the main themes of his work throughout his whole career to date?
Claude Thermes spends much of his time researching Genetics, Genome, Gene, Human genome and DNA.
His work in Origin of replication, Chromatin, Replication timing, RNA splicing and Intron are all subfields of Genetics research.
His work in Chromatin tackles topics such as Origin recognition complex which are related to areas like Licensing factor and Minichromosome maintenance.
His biological study spans a wide range of topics, including Computational biology and DNA sequencing.
Claude Thermes works mostly in the field of DNA sequencing, limiting it down to topics relating to Wavelet and, in certain cases, Multifractal system.
In Human genome, Claude Thermes works on issues like Evolutionary biology, which are connected to Chromatin Fiber and Pseudogene.
He most often published in these fields:
- Genetics (41.05%)
- Genome (26.32%)
- Gene (24.21%)
What were the highlights of his more recent work (between 2012-2021)?
- Genetics (41.05%)
- Genome (26.32%)
- Replication timing (16.84%)
In recent papers he was focusing on the following fields of study:
Claude Thermes mostly deals with Genetics, Genome, Replication timing, Evolutionary biology and Computational biology.
His Genome study improves the overall literature in Gene.
While the research belongs to areas of Replication timing, Claude Thermes spends his time largely on the problem of Replication Initiation, intersecting his research to questions surrounding Directionality, Chromosomal fragile site, Transcription and Algorithm.
His Evolutionary biology study integrates concerns from other disciplines, such as Chromatin and Fixation.
His Chromatin research is multidisciplinary, incorporating perspectives in Pre-replication complex, Origin recognition complex and Human genome.
His Computational biology research is multidisciplinary, incorporating elements of RNA-Seq, RNA, Replication, Wavelet and DNA sequencing.
Between 2012 and 2021, his most popular works were:
- Ten years of next-generation sequencing technology. (822 citations)
- The Third Revolution in Sequencing Technology (273 citations)
- Library preparation methods for next-generation sequencing: Tone down the bias (265 citations)
In his most recent research, the most cited papers focused on:
Claude Thermes spends much of his time researching DNA sequencing, Genetics, Computational biology, Library preparation and Genome.
His DNA sequencing research integrates issues from DNA microarray, Small RNA, microRNA and Piwi-interacting RNA.
His work is connected to Pre-replication complex, Licensing factor, Origin recognition complex and Origin of replication, as a part of Genetics.
His study in Pre-replication complex is interdisciplinary in nature, drawing from both Chromatin, Enhancer and Minichromosome maintenance.
Claude Thermes has included themes like Sanger sequencing and Third generation sequencing in his Computational biology study.
His studies in Library preparation integrate themes in fields like Adapter, Data science and Genomics.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
