Robert Giegerich spends much of his time researching Algorithm, Genetics, Folding, Theoretical computer science and RNA. His Algorithm study combines topics in areas such as Sequence motif, Position-Specific Scoring Matrices and Sequence alignment. His Genetics study integrates concerns from other disciplines, such as Software and Relational database.
Robert Giegerich has included themes like Tree, Suffix tree and Implementation in his Theoretical computer science study. When carried out as part of a general RNA research project, his work on Nucleic acid structure, Rna folding and Rna secondary structure prediction is frequently linked to work in Benchmarking and Sensitivity, therefore connecting diverse disciplines of study. The study incorporates disciplines such as Small RNA, microRNA, Nucleic acid and Binding site in addition to Coding region.
Theoretical computer science, Algorithm, RNA, Genetics and Programming language are his primary areas of study. His biological study spans a wide range of topics, including Compiler, Reactive programming, Dynamic programming, Tree and Programming paradigm. His work on Time complexity as part of general Algorithm research is frequently linked to Folding, thereby connecting diverse disciplines of science.
His Nucleic acid secondary structure, RNA molecule and Rna folding study in the realm of RNA interacts with subjects such as Protein secondary structure. His work in the fields of Genetics, such as Genome and Gene, overlaps with other areas such as Sinorhizobium meliloti and Minisatellite. Robert Giegerich works mostly in the field of Computational biology, limiting it down to topics relating to Sequence analysis and, in certain cases, Sequence, as a part of the same area of interest.
Robert Giegerich mainly investigates Theoretical computer science, Genetics, RNA, Dynamic programming and Nucleic acid secondary structure. His work carried out in the field of Theoretical computer science brings together such families of science as Nucleic acid structure, Compiler and Programming paradigm, Inductive programming, Reactive programming. His research investigates the connection between Genetics and topics such as Computational biology that intersect with issues in Rna structure prediction.
His research in RNA intersects with topics in Synteny, Shape analysis and Bioinformatics. His Shape analysis research focuses on subjects like RNA molecule, which are linked to Algorithm. His Nucleic acid secondary structure research incorporates elements of Artificial intelligence and Natural language processing.
His scientific interests lie mostly in RNA, Sinorhizobium meliloti, Genetics, Theoretical computer science and Transfer RNA. His RNA research integrates issues from Shape analysis and Bioinformatics. Robert Giegerich has researched Theoretical computer science in several fields, including Dynamic programming, Relation, Scope, Programming paradigm and Implementation.
His Dynamic programming research includes elements of Domain, Set, Time complexity and Bellman equation. His research integrates issues of Non-coding RNA, RNA-binding protein and Antisense RNA in his study of Transfer RNA. His Transcription research includes themes of Gene expression, DNA binding site, Sigma factor and Transcription factor.
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Fast and effective prediction of microRNA/target duplexes
Marc Rehmsmeier;Peter Steffen;Matthias Höchsmann;Robert Giegerich.
REPuter: the manifold applications of repeat analysis on a genomic scale.
Stefan Kurtz;Jomuna V. Choudhuri;Enno Ohlebusch;Chris Schleiermacher.
Nucleic Acids Research (2001)
GenDB—an open source genome annotation system for prokaryote genomes
Folker Meyer;Alexander Goesmann;Alice C. McHardy;Daniela Bartels.
Nucleic Acids Research (2003)
A comprehensive comparison of comparative RNA structure prediction approaches
Paul P Gardner;Robert Giegerich.
BMC Bioinformatics (2004)
Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics
Jens Reeder;Robert Giegerich.
BMC Bioinformatics (2004)
RNAshapes: an integrated RNA analysis package based on abstract shapes
Peter Steffen;Björn Voß;Marc Rehmsmeier;Jens Reeder.
Local similarity in RNA secondary structures
M. Hochsmann;T. Toller;R. Giegerich;S. Kurtz.
computational systems bioinformatics (2003)
From Ukkonen to McCreight and Weiner: A Unifying View of Linear-Time Suffix Tree Construction
Robert Giegerich;Stefan Kurtz.
Abstract shapes of RNA
Robert Giegerich;Björn Voß;Marc Rehmsmeier.
Nucleic Acids Research (2004)
GeneFisher-Software Support for the Detection of Postulated Genes
Robert Giegerich;Folker Meyer;Chris Schleiermacher.
intelligent systems in molecular biology (1996)
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