Cherry, J. Michael

Gene Ontology: tool for the unification of biology

Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 43,206

The Gene Ontology resource: enriching a GOld mine

The Gene Ontology Consortium, Carbon, S., Douglass, E., Good, B. M., Unni, D. R., Harris, N. L., Mungall, C. J., Basu, S., Chisholm, R. L., Dodson, R. J., et al. (2021) · Nucleic Acids Research

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 3,555

Annotation of functional variation in personal genomes using RegulomeDB

Boyle, A. P., Hong, E. L., Hariharan, M., Cheng, Y., Schaub, M. A., Kasowski, M., Karczewski, K. J., Park, J., Hitz, B. C., Weng, S., et al. (2012) · Genome Research

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 2,722

GO::TermFinder–open source software for accessing gene ontology information and finding significantly enriched gene ontology terms associated with a list of genes

Boyle, E. I., Weng, S., Gollub, J., Jin, H., Botstein, D., Cherry, J. M., & Sherlock, G. (2004) · Bioinformatics

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 2,067

The Encyclopedia of DNA elements (ENCODE): data portal update

Davis, C. A., Hitz, B. C., Sloan, C. A., Chan, E. T., Davidson, J. M., Gabdank, I., Hilton, J. A., Jain, K., Baymuradov, U. K., Narayanan, A. K., et al. (2018) · Nucleic Acids Research

Genomics and Chromatin DynamicsResearch Data Management Practices

Cited by 1,717

Comparative Genomics of the Eukaryotes

Rubin, G. M., Yandell, M. D., Wortman, J. R., Gabor, G. L., Miklos, Nelson, C. R., Hariharan, I. K., Fortini, M. E., Li, P. W., Apweiler, R., et al. (2000) · Science

Genomics and Phylogenetic StudiesBioinformatics and Genomic Networks

Cited by 1,698

H3K4me3 breadth is linked to cell identity and transcriptional consistency

Benayoun, B. A., Pollina, E. A., Ucar, D., Mahmoudi, S., Karra, K., Wong, E. D., Devarajan, K., Daugherty, A. C., Kundaje, A. B., Mancini, E., et al. (2014) · Cell

Genomics and Chromatin DynamicsEpigenetics and DNA Methylation

Cited by 536

CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data

Program, C. C. S., Abdulla, S., Aevermann, B., Assis, P., Badajoz, S., Bell, S. M., Bezzi, E., Cakir, B., Chaffer, J., Chambers, S., et al. (2025) · Nucleic Acids Research

Single-cell and spatial transcriptomicsScientific Computing and Data Management

Cited by 399

A gene ontology inferred from molecular networks

Dutkowski, J., Kramer, M., Surma, M. A., Balakrishnan, R., Cherry, J. M., Krogan, N. J., & Ideker, T. (2013) · Nature Biotechnology

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 184

Active interaction mapping reveals the hierarchical organization of autophagy

Kramer, M. H., Farré, J.-C., Mitra, K., Yu, M. K., Ono, K., Demchak, B., Licon, K., Flagg, M., Balakrishnan, R., Cherry, J. M., et al. (2017) · Molecular Cell

Autophagy in Disease and TherapyFungal and yeast genetics research

Cited by 31