Algorithm, Computational biology, Genetics, Genomics and Metagenomics are his primary areas of study. His Algorithm research includes themes of Tandem repeat, Theoretical computer science and Multiple sequence alignment, Sequence alignment. His studies in Theoretical computer science integrate themes in fields like String and Suffix tree.
His Computational biology research is multidisciplinary, incorporating elements of Genome, Noncoding DNA, DNA microarray, Sequence and Sequence analysis. His Genome study frequently involves adjacent topics like Interactive visualization. The study incorporates disciplines such as Pyrosequencing and Data science in addition to Metagenomics.
His primary scientific interests are in Genome, Computational biology, Algorithm, Genetics and Combinatorics. His Genome research incorporates themes from Gene cluster, Theoretical computer science and Set. Jens Stoye works mostly in the field of Computational biology, limiting it down to concerns involving Phylogenetic tree and, occasionally, Evolutionary biology and Contig.
His study in Algorithm is interdisciplinary in nature, drawing from both Simple and Multiple sequence alignment. His Multiple sequence alignment research includes elements of Divide and conquer algorithms, Alignment-free sequence analysis and Data mining. As part of one scientific family, Jens Stoye deals mainly with the area of Combinatorics, narrowing it down to issues related to the String, and often Tandem repeat.
His primary areas of study are Genome, Computational biology, Gene, Comparative genomics and Algorithm. Jens Stoye has included themes like Similarity, Theoretical computer science and Phylogenetic tree in his Genome study. His biological study spans a wide range of topics, including Time complexity, Class, Probabilistic logic, Random graph and De Bruijn graph.
The concepts of his Computational biology study are interwoven with issues in Genome project, Genomic organization, Proteomics, DNA microarray and Gene cluster. To a larger extent, Jens Stoye studies Genetics with the aim of understanding Gene. His Algorithm study combines topics from a wide range of disciplines, such as Set, Selection, Simple, Pairwise comparison and Scale.
Jens Stoye spends much of his time researching Genome, Gene, Comparative genomics, Set and Computational biology. His Genome research integrates issues from Time complexity, Join, Combinatorics and String. His Gene study contributes to a more complete understanding of Genetics.
His Set research includes elements of Graphical user interface, Algorithm and Data set. His research integrates issues of Simple and Natural selection, Selection in his study of Algorithm. His work deals with themes such as Similarity, Biomedicine and Phylogenetic tree, which intersect with Computational biology.
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REPuter: the manifold applications of repeat analysis on a genomic scale.
Stefan Kurtz;Jomuna V. Choudhuri;Enno Ohlebusch;Chris Schleiermacher.
Nucleic Acids Research (2001)
Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment.
Jonas Schulte-Schrepping;Nico Reusch;Daniela Paclik;Kevin Baßler.
Updating benchtop sequencing performance comparison
Sebastian Jünemann;Sebastian Jünemann;Fritz Joachim Sedlazeck;Karola Prior;Andreas Albersmeier.
Nature Biotechnology (2013)
Phylogenetic classification of short environmental DNA fragments
Lutz Krause;Naryttza N. Diaz;Alexander Goesmann;Scott Kelley.
Nucleic Acids Research (2008)
Rose: generating sequence families.
Jens Stoye;Dirk Evers;Folker Meyer.
A unifying view of genome rearrangements
Anne Bergeron;Julia Mixtacki;Jens Stoye.
workshop on algorithms in bioinformatics (2006)
Taxonomic composition and gene content of a methane-producing microbial community isolated from a biogas reactor
Lutz Krause;Naryttza N. Diaz;Robert A. Edwards;Robert A. Edwards;Karl Heinz Gartemann.
Journal of Biotechnology (2008)
Based Upon Repeat Pattern (BURP): an algorithm to characterize the long-term evolution of Staphylococcus aureus populations based on spa polymorphisms
Alexander Mellmann;Thomas Weniger;Christoph Berssenbrügge;Jörg Rothgänger.
BMC Microbiology (2007)
DCA: An efficient implementation of the divide-and-conquer approach to simultaneous multiple sequence alignment
Jens Stoye;Vincent Moulton;Andreas W.M. Dress.
Benchmarking tools for the alignment of functional noncoding DNA
Daniel A Pollard;Casey M Bergman;Casey M Bergman;Jens Stoye;Susan E Celniker.
BMC Bioinformatics (2004)
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