Köhler, Sebastian
Ada Health GmbH , Berlin , Germany
12 papers on CoChatORCID 0000-0002-5316-1399
Most cited papers
- Verified
The human phenotype ontology: a tool for annotating and analyzing human hereditary disease
Robinson, P. N., Köhler, S., Bauer, S., Seelow, D., Horn, D., & Mundlos, S. (2008) · The American Journal of Human Genetics
Biomedical Text Mining and OntologiesGenomics and Rare Diseases
Cited by 1,034
- Verified
Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources
Köhler, S., Carmody, L., Vasilevsky, N., Jacobsen, J. O. B., Danis, D., Gourdine, J.-P., Gargano, M., Harris, N. L., Matentzoglu, N., McMurry, J. A., et al. (2019) · Nucleic Acids Research
Biomedical Text Mining and OntologiesGenomics and Rare Diseases
Cited by 677
- Verified
Clinical Diagnostics in Human Genetics with Semantic Similarity Searches in Ontologies
Köhler, S., Schulz, M. H., Krawitz, P., Bauer, S., Dölken, S., Ott, C. E., Mundlos, C., Horn, D., Mundlos, S., & Robinson, P. N. (2009) · The American Journal of Human Genetics
Biomedical Text Mining and OntologiesGenomics and Rare Diseases
Cited by 590
- Verified
How many rare diseases are there?
Haendel, M., Vasilevsky, N., Unni, D., Bologa, C., Harris, N., Rehm, H., Hamosh, A., Baynam, G., Groza, T., McMurry, J., et al. (2020) · Nature Reviews Drug Discovery
Genomics and Rare DiseasesGenetic Associations and Epidemiology
Cited by 554
- Verified
Next-generation diagnostics and disease-gene discovery with the Exomiser
Smedley, D., Jacobsen, J. O. B., Jäger, M., Köhler, S., Holtgrewe, M., Schubach, M., Siragusa, E., Zemojtel, T., Buske, O. J., Washington, N. L., et al. (2015) · Nature Protocols
Genomics and Rare DiseasesBioinformatics and Genomic Networks
Cited by 445
- Verified
The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species
Mungall, C. J., McMurry, J. A., Köhler, S., Balhoff, J. P., Borromeo, C., Brush, M., Carbon, S., Conlin, T., Dunn, N., Engelstad, M., et al. (2017) · Nucleic Acids Research
Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks
Cited by 441
- Verified
The Human Phenotype Ontology in 2024: phenotypes around the world
Gargano, M. A., Matentzoglu, N., Coleman, B., Addo-Lartey, E. B., Anagnostopoulos, A. V., Anderton, J., Avillach, P., Bagley, A. M., Bakštein, E., Balhoff, J. P., et al. (2024) · Nucleic Acids Research
Biomedical Text Mining and OntologiesGenomics and Rare Diseases
Cited by 410
- Verified
Improved exome prioritization of disease genes through cross-species phenotype comparison
Robinson, P. N., Köhler, S., Oellrich, A., Sanger Mouse Genetics Project, Wang, K., Mungall, C. J., Lewis, S. E., Washington, N., Bauer, S., Seelow, D., et al. (2014) · Genome Research
Genomics and Rare DiseasesBioinformatics and Genomic Networks
Cited by 375
- Verified
A Whole-Genome Analysis Framework for Effective Identification of Pathogenic Regulatory Variants in Mendelian Disease
Smedley, D., Schubach, M., Jacobsen, J. O. B., Köhler, S., Zemojtel, T., Spielmann, M., Jäger, M., Hochheiser, H., Washington, N. L., McMurry, J. A., et al. (2016) · The American Journal of Human Genetics
Genomics and Rare DiseasesGenetic Associations and Epidemiology
Cited by 283
- Verified
Characterizing long COVID: deep phenotype of a complex condition
Deer, R. R., Rock, M. A., Vasilevsky, N., Carmody, L., Rando, H., Anzalone, A. J., Basson, M. D., Bennett, T. D., Bergquist, T., Boudreau, E. A., et al. (2021) · EBioMedicine
Long-Term Effects of COVID-19Biomedical Text Mining and Ontologies
Cited by 200
- Verified
Deletions of chromosomal regulatory boundaries are associated with congenital disease
Ibn-Salem, J., Köhler, S., Love, M. I., Chung, H.-R., Huang, N., Hurles, M. E., Haendel, M., Washington, N. L., Smedley, D., Mungall, C. J., et al. (2014) · Genome Biology
Genomic variations and chromosomal abnormalitiesGenomics and Chromatin Dynamics
Cited by 143
- Verified
Mondo: Unifying diseases for the world, by the world
Vasilevsky, N. A., Matentzoglu, N. A., Toro, S., Flack, J. E., Hegde, H., Unni, D. R., Alyea, G. F., Amberger, J. S., Babb, L., Balhoff, J. P., et al. (2022) · medRxiv
Biomedical Text Mining and OntologiesSemantic Web and Ontologies
Cited by 107
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