His primary scientific interests are in Genetics, Gene, Ancient DNA, Genome-wide association study and Coalescent theory. The study incorporates disciplines such as Inference, Computational biology and Bayesian inference in addition to Genetics. His work deals with themes such as Interaction network and Evolutionary dynamics, which intersect with Computational biology.
His SNP, Wild type and Gene chip analysis study, which is part of a larger body of work in Gene, is frequently linked to Fibroblast growth factor receptor 3, bridging the gap between disciplines. Polymerase chain reaction is closely connected to DNA in his research, which is encompassed under the umbrella topic of Ancient DNA. His Genome-wide association study study incorporates themes from Case-control study, Locus and Gene–environment interaction.
His scientific interests lie mostly in Genetics, Statistical physics, Applied mathematics, Computational biology and Single-nucleotide polymorphism. His research investigates the connection between Genetics and topics such as Ancient DNA that intersect with issues in DNA. His research integrates issues of Simple and Markov chain in his study of Statistical physics.
His Applied mathematics study combines topics from a wide range of disciplines, such as Chemical reaction, Graph, Steady state, Ordinary differential equation and Conservation law. His Single-nucleotide polymorphism research is covered under the topics of Genotype and Gene. In his research, Evolutionary biology and Mutation is intimately related to Coalescent theory, which falls under the overarching field of Recombination.
His main research concerns Statistical physics, Markov chain, Applied mathematics, Pure mathematics and Chemical reaction. His studies in Statistical physics integrate themes in fields like Graphical model and Stationary distribution. His Markov chain research is multidisciplinary, relying on both Stochastic process, Recursion, Ergodicity, Polynomial and Transition rate matrix.
The various areas that he examines in his Applied mathematics study include Steady state, Conservation law, Type and Exponential function. He focuses mostly in the field of Chemical reaction, narrowing it down to topics relating to Bistability and, in certain cases, Parameterized complexity. Carsten Wiuf has researched Inference in several fields, including Genetics, Correctness, Whole genome sequencing, Normal distribution and DNA sequencing.
Carsten Wiuf mostly deals with Statistical physics, Ordinary differential equation, Applied mathematics, Steady State theory and Bistability. His biological study focuses on Autocatalytic reaction. His Ordinary differential equation research incorporates themes from Parameter space, Conservation law, Ode and Parameterized complexity.
His Parameterized complexity study necessitates a more in-depth grasp of Algorithm. His research in Applied mathematics tackles topics such as Dimension which are related to areas like Reduction. While the research belongs to areas of Bistability, Carsten Wiuf spends his time largely on the problem of Flow, intersecting his research to questions surrounding Chemical reaction.
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Monitoring endangered freshwater biodiversity using environmental DNA
Molecular Ecology (2012)
Estimating the size of the human interactome
Michael P. H. Stumpf;Thomas Thorne;Eric de Silva;Ronald Stewart.
Proceedings of the National Academy of Sciences of the United States of America (2008)
Gene Genealogies, Variation and Evolution: A Primer in Coalescent Theory
Jotun Hein;Mikkel H. Schierup;Carsten Wiuf.
Diverse Plant and Animal Genetic Records from Holocene and Pleistocene Sediments
Subnets of scale-free networks are not scale-free: sampling properties of networks.
Michael P. H. Stumpf;Carsten Wiuf;Robert M. May.
Proceedings of the National Academy of Sciences of the United States of America (2005)
Diagnostic and Prognostic MicroRNAs in Stage II Colon Cancer
Troels Schepeler;Jørgen T. Reinert;Marie S. Ostenfeld;Lise L. Christensen.
Cancer Research (2008)
Challenges in microbial ecology: building predictive understanding of community function and dynamics
The ISME Journal (2016)
Long-term persistence of bacterial DNA.
Eske Willerslev;Eske Willerslev;Anders J. Hansen;Regin Rønn;Tina B. Brand.
Current Biology (2004)
Common variants at VRK2 and TCF4 conferring risk of schizophrenia
Stacy Steinberg;Simone de Jong;Ole A. Andreassen;Thomas Werge.
Human Molecular Genetics (2011)
Statistical Evidence for Miscoding Lesions in Ancient DNA Templates
Anders J. Hansen;Eske Willerslev;Carsten Wiuf;Tobias Mourier.
Molecular Biology and Evolution (2001)
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