2022 - Research.com Best Scientist Award
2022 - Research.com Genetics and Molecular Biology in Germany Leader Award
2018 - Member of Academia Europaea
2014 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Human Genetics and Molecular Medicine
Member of the European Molecular Biology Organization (EMBO)
His primary scientific interests are in Genetics, Computational biology, Genome, Bioinformatics and Gene. His Genetics research includes elements of Context and Set. His Computational biology study incorporates themes from Proteome, Sequence alignment, Proteomics, Identification and Function.
Peer Bork has researched Genome in several fields, including Evolutionary biology and Metagenomics. His work on Annotation as part of general Bioinformatics study is frequently linked to Resource, therefore connecting diverse disciplines of science. In the field of Gene, his study on Homology, Alternative splicing, Operon and Drosophila melanogaster overlaps with subjects such as Anopheles gambiae.
The scientist’s investigation covers issues in Genetics, Computational biology, Genome, Gene and Metagenomics. Sequence analysis, Sequence alignment, Peptide sequence, Phylogenetics and Homology are subfields of Genetics in which his conducts study. His work in Computational biology addresses subjects such as Bioinformatics, which are connected to disciplines such as Information retrieval.
In his study, Protein domain is inextricably linked to Annotation, which falls within the broad field of Information retrieval. His Genome study combines topics from a wide range of disciplines, such as Evolutionary biology and Phylogenetic tree. His study explores the link between Metagenomics and topics such as Microbiome that cross with problems in Gut flora.
Peer Bork mainly investigates Metagenomics, Microbiome, Computational biology, Genome and Ecology. His research investigates the link between Metagenomics and topics such as Evolutionary biology that cross with problems in Phylogenetic tree. His work deals with themes such as Colonization, Gut flora and Cohort, which intersect with Microbiome.
His studies deal with areas such as Proteome and Bioinformatics as well as Computational biology. His study in Bioinformatics is interdisciplinary in nature, drawing from both User interface and Information retrieval. The subject of his Genome research is within the realm of Genetics.
Peer Bork focuses on Microbiome, Metagenomics, Bioinformatics, Computational biology and Genome. Microbiome is a subfield of Genetics that Peer Bork studies. In most of his Genetics studies, his work intersects topics such as Case-control study.
His Bioinformatics research is multidisciplinary, relying on both User interface, Information retrieval and Expression. His research in Computational biology intersects with topics in Proteome, Genome project, Taxonomic rank, InterProScan and Molecular Sequence Annotation. Peer Bork is interested in Genomics, which is a field of Genome.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Initial sequencing and analysis of the human genome.
Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum.
A method and server for predicting damaging missense mutations.
Ivan A Adzhubei;Steffen Schmidt;Leonid Peshkin;Vasily E Ramensky.
Nature Methods (2010)
A human gut microbial gene catalogue established by metagenomic sequencing
Junjie Qin;Ruiqiang Li;Jeroen Raes;Manimozhiyan Arumugam.
Initial sequencing and comparative analysis of the mouse genome.
Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
STRING v10: protein–protein interaction networks, integrated over the tree of life
Damian Szklarczyk;Andrea Franceschini;Stefan Wyder;Kristoffer Forslund.
Nucleic Acids Research (2015)
Functional organization of the yeast proteome by systematic analysis of protein complexes
Anne-Claude Gavin;Markus Bösche;Roland Krause;Paola Grandi.
Enterotypes of the human gut microbiome
Manimozhiyan Arumugam;Jeroen Raes;Eric Pelletier;Denis Le Paslier.
The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible
Damian Szklarczyk;John H. Morris;Helen Cook;Michael Kuhn.
Nucleic Acids Research (2017)
SMART, a simple modular architecture research tool: Identification of signaling domains
Jörg Schultz;Frank Milpetz;Peer Bork;Chris P. Ponting.
Proceedings of the National Academy of Sciences of the United States of America (1998)
STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.
Damian Szklarczyk;Annika L. Gable;David Lyon;Alexander Junge.
Nucleic Acids Research (2019)
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