What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Genetics, Genomics, Computational biology, Reference genome and DNA sequencing.
Gabor T. Marth interconnects Structural variation, Genetic variation and 1000 Genomes Project in the investigation of issues within Genomics.
The concepts of his 1000 Genomes Project study are interwoven with issues in Genome and Genome resequencing.
His research in Genome intersects with topics in Information retrieval and Exome.
In general Reference genome study, his work on Cancer genome sequencing often relates to the realm of Multiple sequence alignment and Alignment-free sequence analysis, thereby connecting several areas of interest.
As a member of one scientific family, Gabor T. Marth mostly works in the field of DNA sequencing, focusing on Sequence assembly and, on occasion, Deep sequencing, Sequence Read Archive, 2 base encoding and Sequence analysis.
His most cited work include:
- The Sequence Alignment/Map format and SAMtools (29524 citations)
- A global reference for human genetic variation. (7825 citations)
- An integrated map of genetic variation from 1,092 human genomes (6243 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Computational biology, Genome, DNA sequencing and Human genome.
Gabor T. Marth combines subjects such as Exome sequencing, Cancer, Indel, Genotyping and 1000 Genomes Project with his study of Computational biology.
Within one scientific family, he focuses on topics pertaining to Reference genome under 1000 Genomes Project, and may sometimes address concerns connected to Sequence, Sequence analysis and Bioinformatics.
His study in Genomics and Structural variation is carried out as part of his studies in Genome.
His Genomics study combines topics in areas such as Software, Genome-wide association study and Information retrieval.
The various areas that Gabor T. Marth examines in his Human genome study include Evolutionary biology and dbSNP.
He most often published in these fields:
- Genetics (42.11%)
- Computational biology (38.35%)
- Genome (27.07%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (38.35%)
- Cancer (16.54%)
- Genetics (42.11%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Computational biology, Cancer, Genetics, DNA sequencing and Genome.
His Computational biology study integrates concerns from other disciplines, such as Exome sequencing, Exome, DNA, Human genetics and Genetic testing.
His work on Gene, Allele, Proband and Sequence as part of general Genetics research is frequently linked to Coding, thereby connecting diverse disciplines of science.
His Genome study incorporates themes from Human Phenotype Ontology, Germline, Disease, 1000 Genomes Project and Candidate gene.
Gabor T. Marth has included themes like Human genetic variation, Human genome, Pairwise comparison and Genetic variation in his 1000 Genomes Project study.
His Whole genome sequencing research incorporates themes from Genomics, Genetic association and Genetic architecture.
Between 2018 and 2021, his most popular works were:
- Multi-platform discovery of haplotype-resolved structural variation in human genomes (307 citations)
- MYC Drives Temporal Evolution of Small Cell Lung Cancer Subtypes by Reprogramming Neuroendocrine Fate (36 citations)
- Lysosomal Storage and Albinism Due to Effects of a De Novo CLCN7 Variant on Lysosomal Acidification. (22 citations)
In his most recent research, the most cited papers focused on:
Gabor T. Marth spends much of his time researching Phenotype, Genome, Human genetics, Hypotonia and Cancer research.
Gabor T. Marth combines subjects such as Telangiectasia, Pathology and Molecular genetic testing with his study of Phenotype.
His Genome research includes themes of Computational biology and 1000 Genomes Project.
His Computational biology study combines topics in areas such as Genetic variation, Germline and Pairwise comparison.
His research in 1000 Genomes Project intersects with topics in Human genetic variation, Human genome, Whole genome sequencing, Genomics and DNA sequencing.
His Cancer research research integrates issues from Signal transduction and Kinase.
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