What is he best known for?
The fields of study he is best known for:
- Gene
- DNA
- Artificial intelligence
His primary areas of study are Genetics, DNA methylation, Computational biology, Docking and Gene.
His research integrates issues of Annotation, Critical Assessment of Function Annotation, Comparative genomics, DNA microarray and Homology in his study of Computational biology.
His research investigates the connection between Docking and topics such as Pharmacophore that intersect with issues in Structural alignment, Field and Structure.
His study in Gene is interdisciplinary in nature, drawing from both Data mining and Drug resistance.
His Protein–ligand docking research incorporates themes from Algorithm and A protein.
Thomas Lengauer combines subjects such as Biological system and Molecule with his study of Searching the conformational space for docking.
His most cited work include:
- ROCR: visualizing classifier performance in R (2078 citations)
- A Fast Flexible Docking Method using an Incremental Construction Algorithm (2048 citations)
- A genome-wide association scan of nonsynonymous SNPs identifies a susceptibility variant for Crohn disease in ATG16L1 (1575 citations)
What are the main themes of his work throughout his whole career to date?
Computational biology, Genetics, Virology, Bioinformatics and Genotype are his primary areas of study.
His Computational biology research integrates issues from Genome and Epigenetics.
His research in Gene and DNA methylation are components of Genetics.
Thomas Lengauer studies DNA methylation, namely Epigenomics.
All of his Virology and Virus and Hepatitis C virus investigations are sub-components of the entire Virology study.
Many of his studies involve connections with topics such as Drug resistance and Genotype.
He most often published in these fields:
- Computational biology (20.49%)
- Genetics (13.96%)
- Virology (10.60%)
What were the highlights of his more recent work (between 2012-2020)?
- Computational biology (20.49%)
- DNA methylation (6.18%)
- Epigenetics (5.48%)
In recent papers he was focusing on the following fields of study:
Thomas Lengauer focuses on Computational biology, DNA methylation, Epigenetics, Virology and Genetics.
Thomas Lengauer has included themes like Gene expression, Ebola virus, Genome, Chromatin and In silico in his Computational biology study.
In his study, which falls under the umbrella issue of Genome, Nucleosome is strongly linked to Heterochromatin.
His work carried out in the field of DNA methylation brings together such families of science as Histone, Methylation, DNA and Feature selection.
His research on Epigenetics concerns the broader Gene.
His Virology study incorporates themes from Mutation, Antibody and Genotype.
Between 2012 and 2020, his most popular works were:
- Comprehensive analysis of DNA methylation data with RnBeads (399 citations)
- Making sense of big data in health research: Towards an EU action plan (144 citations)
- DNA Methylation Dynamics of Human Hematopoietic Stem Cell Differentiation (118 citations)
In his most recent research, the most cited papers focused on:
- Gene
- DNA
- Artificial intelligence
His scientific interests lie mostly in DNA methylation, Computational biology, Genetics, Virology and Drug resistance.
His DNA methylation research includes elements of Methylation, Epigenetics and Cell biology.
His research investigates the connection with Methylation and areas like Gut flora which intersect with concerns in Gene expression and Gene.
His work deals with themes such as Chromatin, Genome, Human genetics and Maraviroc, which intersect with Computational biology.
A large part of his Genetics studies is devoted to Epigenomics.
Thomas Lengauer interconnects Antiretroviral treatment, Treatment failure, Virus, Genotype and Viral genetics in the investigation of issues within Drug resistance.
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