What is he best known for?
The fields of study he is best known for:
Victor V. Solovyev mainly investigates Genetics, Genome, Gene, Whole genome sequencing and Genomics.
His study in Gene prediction, Exon, splice, Intron and RNA splicing is carried out as part of his Genetics studies.
Victor V. Solovyev interconnects Ecology and Genetic model in the investigation of issues within Genome.
His Gene research integrates issues from Insect and Red flour beetle.
His Whole genome sequencing research is multidisciplinary, relying on both Genetic variation, Taurine cattle, Bovine genome and Gene family.
Victor V. Solovyev has included themes like Code, Phylogenetics, Computational biology and Benchmark in his Genomics study.
His most cited work include:
- Community structure and metabolism through reconstruction of microbial genomes from the environment (1806 citations)
- Insights into social insects from the genome of the honeybee Apis mellifera (1472 citations)
- The genome of the model beetle and pest Tribolium castaneum. (1039 citations)
What are the main themes of his work throughout his whole career to date?
Genetics, Genome, Computational biology, Gene and DNA sequencing are his primary areas of study.
His study in Genetics focuses on Gene prediction, Genomics, Genome project, Intron and Coding region.
His Genomics study combines topics from a wide range of disciplines, such as Phylogenetics, Human genetics and Proteomics.
The various areas that Victor V. Solovyev examines in his Genome study include Promoter and Sequence analysis.
His Computational biology study combines topics in areas such as Human genome, Contig, Annotation, Transcription and Molecular Sequence Annotation.
His DNA sequencing research includes themes of Protein sequencing, Algorithm, Oligonucleotide and Database.
He most often published in these fields:
- Genetics (40.78%)
- Genome (37.86%)
- Computational biology (30.10%)
What were the highlights of his more recent work (between 2015-2019)?
- Genome (37.86%)
- Computational biology (30.10%)
- Promoter (10.68%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Genome, Computational biology, Promoter, Identification and Annotation.
Genetics and Gene are the two main areas of interest in his Genome studies.
His study in the field of Binding site and Transcription factor also crosses realms of Disease, Opisthorchiidae and Opisthorchis felineus.
His Computational biology research incorporates themes from Artificial neural network, Human genome and Molecular Sequence Annotation.
His work deals with themes such as Sequence analysis, Deep learning, Discriminative model, Artificial intelligence and Transcription, which intersect with Promoter.
His Annotation research is multidisciplinary, incorporating perspectives in Data mining and Hierarchical Data Format.
Between 2015 and 2019, his most popular works were:
- Rice SNP-seek database update: new SNPs, indels, and queries. (123 citations)
- Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks. (99 citations)
- TSSPlant: a new tool for prediction of plant Pol II promoters. (33 citations)
In his most recent research, the most cited papers focused on:
Victor V. Solovyev focuses on Genome, Computational biology, Promoter, Sequence analysis and Annotation.
He is involved in the study of Genome that focuses on Human genome in particular.
He has researched Computational biology in several fields, including Deep learning, Data mining and Genomics.
His research integrates issues of Discriminative model, Artificial intelligence and Transcription in his study of Promoter.
His studies deal with areas such as Artificial neural network, Backpropagation, RNA polymerase II and Selection as well as Sequence analysis.
Victor V. Solovyev combines subjects such as Ontology, Middleware, Database, Hierarchical Data Format and Reference genome with his study of Annotation.
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