What is he best known for?
The fields of study he is best known for:
His main research concerns Gene cluster, Genetics, Gene, Genome and Computational biology.
His Gene cluster study frequently draws parallels with other fields, such as Polyketide.
His work deals with themes such as Annotation, ENCODE and Enzyme Commission number, which intersect with Polyketide.
His Genome research incorporates elements of Plasmid and Streptomyces.
His Computational biology research incorporates themes from Substrate specificity, Peptide sequence and Biochemistry.
His work carried out in the field of Genomics brings together such families of science as Genome mining, Secondary metabolite, Putative gene, Bacterial genome size and GenBank.
His most cited work include:
- antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters (1341 citations)
- antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters (1341 citations)
- antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences (975 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computational biology, Gene, Genome, Gene cluster and Genetics.
His Computational biology study incorporates themes from Natural product, Identification, Metabolomics and Genomics.
He regularly links together related areas like Streptomyces in his Gene studies.
His research integrates issues of Microbiome, Annotation and Polyketide in his study of Genome.
The study incorporates disciplines such as ENCODE, Subfamily, Biosynthesis and Homology in addition to Gene cluster.
His study in Operon and Comparative genomics falls under the purview of Genetics.
He most often published in these fields:
- Computational biology (57.04%)
- Gene (46.48%)
- Genome (35.92%)
What were the highlights of his more recent work (between 2019-2021)?
- Computational biology (57.04%)
- Genome (35.92%)
- Gene (46.48%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Computational biology, Genome, Gene, Gene cluster and Genome mining.
His biological study spans a wide range of topics, including Metagenomics, Natural product, Metabolomics and Genomics.
His Genome research integrates issues from Polyketide and Streptomyces, Bacteria.
His Gene study combines topics in areas such as Microbiome, Synthetic biology and Enzyme.
His Gene cluster study frequently links to related topics such as Protein domain.
His Genome mining research focuses on UniProt and how it relates to Protein database, Posttranslational modification and A protein.
Between 2019 and 2021, his most popular works were:
- A computational framework to explore large-scale biosynthetic diversity (124 citations)
- Cultivation and functional characterization of 79 planctomycetes uncovers their unique biology (65 citations)
- ARTS 2.0: feature updates and expansion of the Antibiotic Resistant Target Seeker for comparative genome mining. (23 citations)
In his most recent research, the most cited papers focused on:
Marnix H. Medema spends much of his time researching Computational biology, Genome, Gene cluster, Genomics and Gene.
His Computational biology research is multidisciplinary, relying on both Protein database and UniProt.
His Genome study combines topics from a wide range of disciplines, such as ENCODE and Ecological selection.
Marnix H. Medema has included themes like Strain and Synteny in his Gene cluster study.
His studies in Genomics integrate themes in fields like Omics data, Identification and Metabolomics.
The concepts of his Gene study are interwoven with issues in Brassicaceae and Synthetic biology.
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