What is he best known for?
The fields of study he is best known for:
Christian J. Stoeckert spends much of his time researching Genome, Genetics, Computational biology, Genomics and Annotation.
Genome is closely attributed to Chromatin immunoprecipitation in his research.
Many of his studies on Genetics involve topics that are commonly interrelated, such as Plasmodium falciparum.
Christian J. Stoeckert combines subjects such as Proteome, Genome project, Gene expression profiling, Promoter and Gene with his study of Computational biology.
His Genomics research integrates issues from PlasmoDB and Whole genome sequencing.
His Annotation research incorporates themes from Ontology, Database, Functional genomics, Microbiology and Microarray.
His most cited work include:
- OrthoMCL: identification of ortholog groups for eukaryotic genomes. (4088 citations)
- PlasmoDB: a functional genomic database for malaria parasites (800 citations)
- OrthoMCL-DB: querying a comprehensive multi-species collection of ortholog groups (723 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genetics, Computational biology, Gene, Data science and Genome.
Christian J. Stoeckert studies Genetics, namely Expressed sequence tag.
His work deals with themes such as DNA microarray and Functional genomics, which intersect with Computational biology.
Christian J. Stoeckert works mostly in the field of Gene, limiting it down to topics relating to Molecular biology and, in certain cases, Phenotype.
His study on Data science also encompasses disciplines like
- Ontology that intertwine with fields like Interoperability,
- Bioinformatics which is related to area like Microarray gene expression and Microarray analysis techniques.
His Genome research includes elements of Annotation, Proteome and PlasmoDB.
He most often published in these fields:
- Genetics (27.42%)
- Computational biology (22.04%)
- Gene (18.28%)
What were the highlights of his more recent work (between 2014-2021)?
- Genetics (27.42%)
- Disease (5.91%)
- Data science (15.59%)
In recent papers he was focusing on the following fields of study:
Christian J. Stoeckert mostly deals with Genetics, Disease, Data science, Cell biology and Genomics.
His work in the fields of Epigenomics, Chromatin and Epigenetics of physical exercise overlaps with other areas such as Data sharing and Therapeutic gene modulation.
Christian J. Stoeckert has researched Data science in several fields, including Microbiome, Human Microbiome Project, Leverage, Data discovery and PlasmoDB.
Christian J. Stoeckert has included themes like Embryonic stem cell, Cell Maturation, Insulin and Cell in his Cell biology study.
His Genomics research is multidisciplinary, incorporating perspectives in Proteomics and Computational biology.
His work in Computational biology tackles topics such as GenBank which are related to areas like In silico.
Between 2014 and 2021, his most popular works were:
- EuPathDB: the eukaryotic pathogen genomics database resource. (125 citations)
- The Ontology for Biomedical Investigations (124 citations)
- FungiDB: An Integrated Bioinformatic Resource for Fungi and Oomycetes (120 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Genome
- Gene expression
His primary areas of investigation include Data science, Database, Genome, Proteomics and Genomics.
Christian J. Stoeckert interconnects PlasmoDB and Data management in the investigation of issues within Data science.
The various areas that Christian J. Stoeckert examines in his Database study include Genome browser and Open data.
His Genome research includes themes of GenBank, Oomycete and In silico.
His Proteomics study integrates concerns from other disciplines, such as Computational biology, Workflow, Copy-number variation and Metagenomics.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
