His scientific interests lie mostly in Genetics, Domain, Computational biology, Simple Modular Architecture Research Tool and Protein domain. His study in Genome, Phylogenetics, Gene, Sequence alignment and Horizontal gene transfer falls within the category of Genetics. His Genome study frequently links to adjacent areas such as Sequence analysis.
His Computational biology research is multidisciplinary, incorporating elements of Gene density, Hybrid genome assembly and Cancer genome sequencing. He interconnects Annotation and Bioinformatics in the investigation of issues within Simple Modular Architecture Research Tool. The study incorporates disciplines such as The Internet and Genomics in addition to Protein domain.
His primary areas of study are Genetics, Computational biology, Phylogenetics, Genome and Cell biology. His Genetics research focuses on Sequence analysis, Gene, Sequence alignment, Peptide sequence and Simple Modular Architecture Research Tool. His research investigates the connection with Computational biology and areas like Domain which intersect with concerns in Protein domain and Bioinformatics.
His Phylogenetics study combines topics in areas such as Evolutionary biology, Protein secondary structure, Internal transcribed spacer, Phylogenetic tree and Homology. His research on Genome focuses in particular on Human genome. His Cell biology research includes elements of N-terminus, A protein and Archaea.
Jörg Schultz mainly focuses on Ecology, Venus flytrap, Ecology, Botany and Geography. His study looks at the relationship between Ecology and fields such as Viridiplantae, as well as how they intersect with chemical problems. His Venus flytrap research is multidisciplinary, relying on both Hyperpolarization, Turgor pressure, Predation, Astrobiology and Nutrient.
Jörg Schultz has included themes like Hormone signaling, Signal transduction, Exaptation and Genomic information in his Ecology study. His Gene study introduces a deeper knowledge of Genetics. Particularly relevant to Actin is his body of work in Genetics.
Gene, Genome, Genetics, Cell biology and Venus flytrap are his primary areas of study. The concepts of his Genome study are interwoven with issues in Droseraceae, Foraging and Predation. Among his Genetics studies, you can observe a synthesis of other disciplines of science such as Cell migration and Myoblast fusion.
His Cell biology study frequently links to related topics such as Expression pattern. His studies deal with areas such as Ecology, Insect, Exaptation, Signal transduction and Neofunctionalization as well as Venus flytrap. His Ecology research includes themes of Hormone signaling, Psychological repression and Genomic information.
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Initial sequencing and analysis of the human genome.
Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum.
Initial sequencing and comparative analysis of the mouse genome.
Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
Functional organization of the yeast proteome by systematic analysis of protein complexes
Anne-Claude Gavin;Markus Bösche;Roland Krause;Paola Grandi.
SMART, a simple modular architecture research tool: Identification of signaling domains
Jörg Schultz;Frank Milpetz;Peer Bork;Chris P. Ponting.
Proceedings of the National Academy of Sciences of the United States of America (1998)
SMART: a web-based tool for the study of genetically mobile domains
Jörg Schultz;Richard R. Copley;Tobias Doerks;Chris P. Ponting.
Nucleic Acids Research (2000)
SMART 5: domains in the context of genomes and networks
Ivica Letunic;Richard R. Copley;Birgit Pils;Stefan Pinkert.
Nucleic Acids Research (2006)
SMART 4.0: towards genomic data integration
Ivica Letunic;Richard R. Copley;Steffen Schmidt;Francesca D. Ciccarelli.
Nucleic Acids Research (2004)
Recent improvements to the SMART domain-based sequence annotation resource
Ivica Letunic;Leo Goodstadt;Nicholas J. Dickens;Tobias Doerks.
Nucleic Acids Research (2002)
Systematic identification of novel protein domain families associated with nuclear functions.
Tobias Doerks;Richard R. Copley;Jörg Schultz;Chris P. Ponting.
Genome Research (2002)
Analysis of the human protein interactome and comparison with yeast, worm and fly interaction datasets
T K B Gandhi;Jun Zhong;Suresh Mathivanan;L Karthick.
Nature Genetics (2006)
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