What is he best known for?
The fields of study he is best known for:
Christos A. Ouzounis mostly deals with Genetics, Genome, Gene, Genomics and Comparative genomics.
His research on Genetics often connects related areas such as Computational biology.
Christos A. Ouzounis has researched Computational biology in several fields, including Protein Interaction Networks and Functional genomics.
His biological study spans a wide range of topics, including Regulation of gene expression, Transcription factor and Archaea.
His Genomics research is multidisciplinary, incorporating elements of Metabolic network, Proteomics, MetaCyc, Modelling biological systems and BioCyc database collection.
The concepts of his Protein superfamily study are interwoven with issues in Thermophile, Protein tertiary structure, Structural Classification of Proteins database and GC-content.
His most cited work include:
- An efficient algorithm for large-scale detection of protein families (2689 citations)
- Protein interaction maps for complete genomes based on gene fusion events (961 citations)
- Expansion of the BioCyc collection of pathway/genome databases to 160 genomes (550 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Genetics, Computational biology, Genome, Gene and Genomics.
Phylogenetics, Protein family, Sequence alignment, Genome evolution and Conserved sequence are among the areas of Genetics where the researcher is concentrating his efforts.
His Computational biology research focuses on subjects like Sequence, which are linked to Data mining.
He has included themes like Evolutionary biology and Phylogenetic tree in his Genome study.
His research integrates issues of Proteomics, Human genome and DNA sequencing in his study of Genomics.
His work focuses on many connections between Genome project and other disciplines, such as Sequence analysis, that overlap with his field of interest in Annotation.
He most often published in these fields:
- Genetics (40.20%)
- Computational biology (38.24%)
- Genome (36.76%)
What were the highlights of his more recent work (between 2014-2021)?
- Computational biology (38.24%)
- Genome (36.76%)
- Genomics (12.75%)
In recent papers he was focusing on the following fields of study:
Computational biology, Genome, Genomics, Viral evolution and Data science are his primary areas of study.
In his research, Structural genomics is intimately related to Genetics, which falls under the overarching field of Computational biology.
His Genome research is classified as research in Gene.
His work deals with themes such as Natural resource, Genome project, Systems biology and Journal club, which intersect with Genomics.
His Viral evolution study incorporates themes from Cytosine, Viral envelope, Cytidine triphosphate and Protein family.
His Data science research includes elements of Cellular Regulation, Identification and Big data.
Between 2014 and 2021, his most popular works were:
- DisProt: intrinsic protein disorder annotation in 2020. (51 citations)
- HipMCL: a high-performance parallel implementation of the Markov clustering algorithm for large-scale networks. (48 citations)
- Disentangling the complexity of low complexity proteins (27 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Computational biology, Structure, Algorithm, Annotation and Genomics.
His studies in Computational biology integrate themes in fields like Genetics, Viral evolution, Viral envelope, Cytidine triphosphate and Cytosine.
Christos A. Ouzounis works mostly in the field of Genetics, limiting it down to concerns involving Structural genomics and, occasionally, Comparative genomics.
His Algorithm research incorporates themes from Similarity, Biological network and Cluster analysis.
His Annotation research integrates issues from Fallacy, Inference and Function.
His research investigates the connection with Genomics and areas like Gene regulatory network which intersect with concerns in Nucleoporin.
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