What is he best known for?
The fields of study he is best known for:
Joaquín Dopazo mainly focuses on Genetics, Gene expression profiling, Computational biology, Gene and Genome. The various areas that Joaquín Dopazo examines in his Genetics study include False positive paradox and Expression. His Gene expression profiling study integrates concerns from other disciplines, such as Cancer research, RNA-Seq, Microarray analysis techniques, Cluster analysis and Web server.
His Computational biology research is multidisciplinary, relying on both Bioinformatics, Set, Genomics, Microarray and DNA microarray. In general Gene study, his work on Gene expression, Gene ontology, Phenotype and DNA methylation often relates to the realm of DNA binding site, thereby connecting several areas of interest. His Genome study combines topics in areas such as Proteomics, Phylogenetic tree and Phylogenetics.
His most cited work include:
- High-throughput functional annotation and data mining with the Blast2GO suite. (2551 citations)
- Differential expression in RNA-seq: A matter of depth (1054 citations)
- FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes (957 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Genetics, Computational biology, Gene, Gene expression profiling and Gene expression. His Genome, Exome sequencing, Mutation, Human genome and DNA sequencing investigations are all subjects of Genetics research. As part of his studies on Genome, he frequently links adjacent subjects like Phylogenetics.
His Computational biology research integrates issues from DNA microarray, Transcriptome, Bioinformatics and Genomics. His biological study spans a wide range of topics, including Signal transduction, DNA and Function. His research in Gene expression profiling focuses on subjects like Microarray analysis techniques, which are connected to Gene chip analysis.
He most often published in these fields:
- Genetics (32.50%)
- Computational biology (27.50%)
- Gene (25.00%)
What were the highlights of his more recent work (between 2015-2021)?
- Computational biology (27.50%)
- Disease (6.67%)
- Gene (25.00%)
In recent papers he was focusing on the following fields of study:
Joaquín Dopazo mostly deals with Computational biology, Disease, Gene, Genetics and Bioinformatics. His work on Systems biology is typically connected to Context as part of general Computational biology study, connecting several disciplines of science. His study in Gene expression, DNA sequencing and Gene signature is carried out as part of his Gene studies.
His research in Exome sequencing and Mutation are components of Genetics. His studies link Mutation with Bioinformatics. His research in Transcriptome intersects with topics in RNA and Phenotype.
Between 2015 and 2021, his most popular works were:
- Genomics of the origin and evolution of Citrus (187 citations)
- Human DNA methylomes of neurodegenerative diseases show common epigenomic patterns. (95 citations)
- The effects of death and post-mortem cold ischemia on human tissue transcriptomes (89 citations)
In his most recent research, the most cited papers focused on:
Joaquín Dopazo mainly investigates Computational biology, Genetics, Gene, Bioinformatics and Disease. Joaquín Dopazo has included themes like Pan cancer, Cancer, Signal transduction and Precision medicine in his Computational biology study. His Signal transduction study deals with Disease mechanisms intersecting with Systems biology.
His Exome sequencing, Genetic heterogeneity and Metabolic pathway study in the realm of Genetics interacts with subjects such as Helianthus annuus and Osmoprotectant. As part of one scientific family, he deals mainly with the area of Gene, narrowing it down to issues related to the Mutation, and often Peptide sequence, Exome and Haplotype. His work in the fields of Drug discovery overlaps with other areas such as Weight gain.
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