Mario Stanke mainly investigates Genome, Genetics, Gene prediction, Gene and Markov chain. His work on Whole genome sequencing and Genetic Speciation as part of general Genome study is frequently linked to Anopheles, Aedes and Schistosoma, bridging the gap between disciplines. His study in the field of Genomics, Orthologous Gene and Odorant binding is also linked to topics like Anopheles gambiae and Arbovirus.
His Gene prediction research integrates issues from Expressed sequence tag and Computational biology. His Red flour beetle research extends to the thematically linked field of Gene. His work deals with themes such as Order, Hidden Markov model and Bioinformatics, which intersect with Markov chain.
His main research concerns Genome, Genetics, Gene, Computational biology and Gene prediction. His Genome study integrates concerns from other disciplines, such as Annotation, DNA sequencing and Evolutionary biology. His work in Whole genome sequencing, Synteny, Odorant binding, Recombination and Proteome is related to Genetics.
His research in Computational biology intersects with topics in Clade, Phylogenetic tree, Human genome, Markov chain and Sequence analysis. He has researched Markov chain in several fields, including Intron and Artificial intelligence. His work in Gene prediction tackles topics such as Hidden Markov model which are related to areas like Sequence.
Mario Stanke mainly focuses on Genome, Gene, Computational biology, Genome project and Gene prediction. In the subject of general Genome, his work in Comparative genomics is often linked to Task, thereby combining diverse domains of study. Gene is the subject of his research, which falls under Genetics.
His research investigates the connection between Computational biology and topics such as Sequence assembly that intersect with problems in Genome editing and Gene Annotation. His work carried out in the field of Genome project brings together such families of science as RNA-Seq and DNA sequencing. His research integrates issues of Annotation and Eukaryotic genome in his study of Gene prediction.
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The genome of the model beetle and pest Tribolium castaneum.
Stephen Richards;Richard A. Gibbs;George M. Weinstock;Susan J. Brown.
Nature (2008)
Genome Sequence of the Pea Aphid Acyrthosiphon pisum
Stephen Richards;Richard A. Gibbs;Nicole M. Gerardo;Nancy Moran.
PLOS Biology (2010)
Gene prediction with a hidden Markov model and a new intron submodel.
Mario Stanke;Stephan Waack.
european conference on computational biology (2003)
Genome sequence of Aedes aegypti, a major arbovirus vector
Vishvanath Nene;Jennifer R. Wortman;Daniel Lawson;Brian Haas.
Science (2007)
The genome of the blood fluke Schistosoma mansoni
Matthew Berriman;Brian J. Haas;Brian J. Haas;Philip T. LoVerde;R. Alan Wilson.
Nature (2009)
AUGUSTUS: ab initio prediction of alternative transcripts
Mario Stanke;Oliver Keller;Irfan Gunduz;Alec Hayes.
Nucleic Acids Research (2006)
The Amphimedon queenslandica genome and the evolution of animal complexity
Mansi Srivastava;Oleg Simakov;Oleg Simakov;Jarrod Chapman;Bryony Fahey.
Nature (2010)
Using native and syntenically mapped cDNA alignments to improve de novo gene finding
Mario Stanke;Mark Diekhans;Robert Baertsch;David Haussler.
Bioinformatics (2008)
AUGUSTUS: a web server for gene prediction in eukaryotes that allows user-defined constraints.
Mario Stanke;Burkhard Morgenstern.
Nucleic Acids Research (2005)
AUGUSTUS: a web server for gene finding in eukaryotes
Mario Stanke;Rasmus Steinkamp;Stephan Waack;Burkhard Morgenstern.
Nucleic Acids Research (2004)
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