The scientist’s investigation covers issues in Computational biology, Genetics, Proteomics, Software and Subcellular localization. His studies in Computational biology integrate themes in fields like Exome sequencing, Amino acid, Sequence analysis and DNA sequencing. Oliver Kohlbacher has researched Proteomics in several fields, including DNA microarray, Data mining, Bioinformatics and Mass spectrometry.
His Software study combines topics from a wide range of disciplines, such as Label free, File format, Quantitative proteomics and World Wide Web. His work deals with themes such as Protein subcellular localization prediction and Protein sequencing, which intersect with Subcellular localization. His Genomics study incorporates themes from Epitope, Epitope mapping, Precision medicine and Personalized medicine.
Oliver Kohlbacher mostly deals with Computational biology, Bioinformatics, Data mining, Proteomics and Workflow. He has included themes like Genetics, Genome, Epitope, In silico and Major histocompatibility complex in his Computational biology study. His study in Proteomics is interdisciplinary in nature, drawing from both Proteome, Support vector machine and Mass spectrometry.
His Mass spectrometry research includes elements of Biological system and Metabolomics. Oliver Kohlbacher has included themes like Software, Cloud computing, Software engineering and Data science in his Workflow study. His Data science study integrates concerns from other disciplines, such as Visualization and Omics technologies.
His primary areas of investigation include Data science, Computational biology, Proteomics, Human leukocyte antigen and Identification. His Data science research is multidisciplinary, incorporating perspectives in Data management, Elixir, Omics technologies, Workflow and Big data. In his research, Scalability, Data access, Data modeling, Metadata and Visualization is intimately related to Software, which falls under the overarching field of Workflow.
His biological study spans a wide range of topics, including Proteome, Genome and Exome. His Proteomics research includes elements of Chromatography, Metabolomics, Mass spectrometry and Inference. His Identification research incorporates elements of Software engineering and Shotgun proteomics.
His main research concerns Human leukocyte antigen, Antigen, Immunotherapy, Immune system and Immunology. The concepts of his Human leukocyte antigen study are interwoven with issues in Proteome, Autoimmunity, Exome and Intracellular. His Antigen study incorporates themes from Cancer research and In silico.
The study incorporates disciplines such as Myeloid, Chronic lymphocytic leukemia, Pathogenesis and Respiratory failure in addition to Immune system. His work deals with themes such as Peripheral blood mononuclear cell, Gene signature, Myelopoiesis and Transplantation, which intersect with Immunology. His study looks at the relationship between Ovarian cancer and topics such as RNA-Seq, which overlap with Computational biology.
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.
Charting a dynamic DNA methylation landscape of the human genome
Michael J. Ziller;Hongcang Gu;Fabian Müller;Julie Donaghey;Julie Donaghey.
OpenMS – An open-source software framework for mass spectrometry
Marc Sturm;Andreas Bertsch;Clemens Gröpl;Andreas Hildebrandt.
BMC Bioinformatics (2008)
Visualization of omics data for systems biology
Nils Gehlenborg;Seán I O'Donoghue;Nitin S Baliga;Alexander Goesmann.
Nature Methods (2010)
NRPSpredictor2-a web server for predicting NRPS adenylation domain specificity
Marc Röttig;Marnix H. Medema;Kai Blin;Tilmann Weber.
Nucleic Acids Research (2011)
Specificity prediction of adenylation domains in nonribosomal peptide synthetases (NRPS) using transductive support vector machines (TSVMs)
Christian Rausch;Tilmann Weber;Oliver Kohlbacher;Wolfgang Wohlleben.
Nucleic Acids Research (2005)
MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition
Annette Höglund;Pierre Dönnes;Torsten Blum;Hans-Werner Adolph.
Transcriptional and epigenetic dynamics during specification of human embryonic stem cells.
Casey A. Gifford;Michael Johannes Ziller;Michael Johannes Ziller;Hongcang Gu;Cole Trapnell;Cole Trapnell.
Sequence co-evolution gives 3D contacts and structures of protein complexes
Thomas A Hopf;Charlotta P I Schärfe;Charlotta P I Schärfe;João P G L M Rodrigues;Anna G Green.
OptiType: precision HLA typing from next-generation sequencing data.
András Szolek;Benjamin Schubert;Christopher Mohr;Marc Sturm.
TOPP---the OpenMS proteomics pipeline
Oliver Kohlbacher;Knut Reinert;Clemens Gröpl;Eva Lange.
Profile was last updated on December 6th, 2021.
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