What is he best known for?
The fields of study he is best known for:
Genetics, Computational biology, Gene, Genome and Database are his primary areas of study.
His Computational biology research integrates issues from Apoptosis, Biochemistry, Cyclic nucleotide-binding domain and Signalling.
When carried out as part of a general Gene research project, his work on Contig, Coding region and Gene expression is frequently linked to work in Scaffold/matrix attachment region, therefore connecting diverse disciplines of study.
His work carried out in the field of Genome brings together such families of science as Transcription factor and DNA-binding protein.
His research in Database intersects with topics in Annotation, Sequence alignment, Amino Acid Motifs and PROSITE.
His PROSITE research is multidisciplinary, incorporating elements of Documentation and Protein family.
His most cited work include:
- Weight matrix descriptions of four eukaryotic RNA polymerase II promoter elements derived from 502 unrelated promoter sequences (997 citations)
- The PROSITE database, its status in 2002 (965 citations)
- ESTScan: A Program for Detecting, Evaluating, and Reconstructing Potential Coding Regions in EST Sequences (935 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genetics, Computational biology, Gene, Genome and Promoter.
His Human genome, Chromatin, Transcription factor, Histone and DNA binding site study are his primary interests in Genetics.
His research in Computational biology focuses on subjects like Conserved sequence, which are connected to Comparative genomics.
In the subject of general Gene, his work in Gene expression, Enhancer and Coding region is often linked to Chromosome 21, thereby combining diverse domains of study.
His Genome study integrates concerns from other disciplines, such as Phylogenetics and Database.
His biological study spans a wide range of topics, including Annotation and Nucleic acid sequence.
He most often published in these fields:
- Genetics (58.97%)
- Computational biology (38.97%)
- Gene (28.21%)
What were the highlights of his more recent work (between 2016-2021)?
- Computational biology (38.97%)
- Chromatin (19.49%)
- Genome (36.41%)
In recent papers he was focusing on the following fields of study:
Philipp Bucher mainly focuses on Computational biology, Chromatin, Genome, Gene and Promoter.
His research investigates the link between Computational biology and topics such as DNA binding site that cross with problems in Transcription factor, Binding selectivity and Big data.
His Chromatin study necessitates a more in-depth grasp of Genetics.
His Genome research incorporates themes from COSMIC cancer database, Gene expression, DNA sequencing and Somatic cell.
His research in the fields of Human genome, Exome sequencing, RNA-Seq and Exome overlaps with other disciplines such as dbSNP.
Philipp Bucher focuses mostly in the field of Promoter, narrowing it down to matters related to Transcription and, in some cases, RNA polymerase II and DNA.
Between 2016 and 2021, his most popular works were:
- The eukaryotic promoter database in its 30th year: focus on non-vertebrate organisms. (84 citations)
- The eukaryotic promoter database in its 30th year: focus on non-vertebrate organisms. (84 citations)
- Chromatin three-dimensional interactions mediate genetic effects on gene expression (80 citations)
In his most recent research, the most cited papers focused on:
Philipp Bucher spends much of his time researching Genome, Regulation of gene expression, Transcription factor, DNA and Chromatin.
His study on Genome also encompasses disciplines like
- Human genome most often made with reference to Computational biology,
- DNA sequencing which connect with Database.
As part of his inquiry into Gene and Genetics, he is doing Regulation of gene expression research.
In his works, Philipp Bucher conducts interdisciplinary research on Genetics and SNP.
The various areas that Philipp Bucher examines in his Transcription factor study include DNA binding site, Messenger RNA, Transcription and Source code.
His research integrates issues of Data access, Transcript mapping, Genome project and Vertebrate in his study of Chromatin.
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