Frederick P. Roth mainly focuses on Genetics, Computational biology, Gene, Interactome and Proteome. Saccharomyces cerevisiae, Alternative splicing, Function, Genome and Gene expression profiling are the primary areas of interest in his Genetics study. Frederick P. Roth has researched Computational biology in several fields, including Caenorhabditis elegans, Botany, Arabidopsis, Interaction network and Gene regulatory network.
His Interactome research incorporates elements of Proteomics, Human genome, Human genetics and Protein–protein interaction prediction. His Proteome research includes elements of In silico and Yeast. His Missense mutation study in the realm of Mutation connects with subjects such as Context, Genome-wide association study and Chaperone binding.
Frederick P. Roth mainly investigates Genetics, Computational biology, Gene, Interactome and Saccharomyces cerevisiae. All of his Genetics and Human genome, Genome, Yeast, Phenotype and Mutation investigations are sub-components of the entire Genetics study. His Yeast research incorporates themes from Cell, Growth inhibition and Drug.
His work investigates the relationship between Computational biology and topics such as Proteome that intersect with problems in Function. His Gene research focuses on Mutation, Missense mutation, Allele, Caenorhabditis elegans and Untranslated region. His work on Human interactome as part of general Interactome study is frequently linked to Context, therefore connecting diverse disciplines of science.
Computational biology, Interactome, Gene, Missense mutation and Protein–protein interaction are his primary areas of study. While the research belongs to areas of Computational biology, Frederick P. Roth spends his time largely on the problem of Genome, intersecting his research to questions surrounding Function and Fitness effects. Frederick P. Roth interconnects Proteome, Biotinylation, Signal transduction, Kinase and Reference map in the investigation of issues within Interactome.
Gene is the subject of his research, which falls under Genetics. His work in the fields of Genetics, such as Major histocompatibility complex, Allele and Antigen, intersects with other areas such as Homocystinuria and MHC Class I Gene. His work deals with themes such as Transmembrane domain and Topology, which intersect with Missense mutation.
His primary areas of study are Computational biology, Interactome, Protein–protein interaction, Viral life cycle and Signalling. Borrowing concepts from Coronavirus, Frederick P. Roth weaves in ideas under Computational biology. His Interactome study integrates concerns from other disciplines, such as Proteome, Genome, Function and Reference map.
Frederick P. Roth has researched Genome in several fields, including Transcriptome, Human interactome and Human genetics. His Protein–protein interaction research is multidisciplinary, relying on both Biotinylation, Proteomics and Viral replication. His Signalling research is multidisciplinary, incorporating perspectives in Protein domain, RAC1, Cytoskeleton and Crosstalk.
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Towards a proteome-scale map of the human protein–protein interaction network
Jean François Rual;Kavitha Venkatesan;Tong Hao;Tomoko Hirozane-Kishikawa.
Global Mapping of the Yeast Genetic Interaction Network
Amy Hin Yan Tong;Guillaume Lesage;Gary D. Bader;Huiming Ding.
The genetic landscape of a cell.
Michael Costanzo;Anastasia Baryshnikova;Jeremy Bellay;Yungil Kim.
A Map of the Interactome Network of the Metazoan C. elegans
Siming Li;Christopher M. Armstrong;Nicolas Bertin;Hui Ge.
Evidence for dynamically organized modularity in the yeast protein–protein interaction network
Jing-Dong J. Han;Nicolas Bertin;Tong Hao;Debra S. Goldberg.
High-Quality Binary Protein Interaction Map of the Yeast Interactome Network
Haiyuan Yu;Pascal Braun;Muhammed A Yildirim;Irma Lemmens.
Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation
Frederick P. Roth;Jason D. Hughes;Preston W. Estep;George M. Church.
Nature Biotechnology (1998)
High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities
Traver Hart;Megha Chandrashekhar;Michael Aregger;Zachary Steinhart.
A proteome-scale map of the human interactome network
Thomas Rolland;Murat Taşan;Benoit Charloteaux;Samuel J. Pevzner.
An empirical framework for binary interactome mapping
Kavitha Venkatesan;Kavitha Venkatesan;Jean François Rual;Alexei Vazquez;Alexei Vazquez;Ulrich Stelzl.
Nature Methods (2009)
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