What is he best known for?
The fields of study he is best known for:
- Programming language
- Gene
- Algorithm
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.
His most cited work include:
- Fast and effective prediction of microRNA/target duplexes (1748 citations)
- REPuter: the manifold applications of repeat analysis on a genomic scale. (944 citations)
- GenDB—an open source genome annotation system for prokaryote genomes (635 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Theoretical computer science (29.61%)
- Algorithm (22.37%)
- RNA (19.74%)
What were the highlights of his more recent work (between 2012-2016)?
- Theoretical computer science (29.61%)
- Genetics (17.11%)
- RNA (19.74%)
In recent papers he was focusing on the following fields of study:
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.
Between 2012 and 2016, his most popular works were:
- Global mapping of transcription start sites and promoter motifs in the symbiotic α-proteobacterium Sinorhizobium meliloti 1021. (117 citations)
- The RNA shapes studio (73 citations)
- Genome-wide profiling of Hfq-binding RNAs uncovers extensive post-transcriptional rewiring of major stress response and symbiotic regulons in Sinorhizobium meliloti. (47 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Gene
- Algorithm
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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