An ontology for cell types

Molecular Biology of the Cell

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The molecular biology of the cell

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Creating the Gene Ontology Resource: Design and ImplementationPreprint

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MOLECULAR BIOLOGY OF THE CELL, 5TH EDITION

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Creating the gene ontology resource: design and implementation.

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Drosophila crinkled, Mutations of Which Disrupt Morphogenesis and Cause Lethality, Encodes Fly Myosin VIIA

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Phenotypic data in FlyBase

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Computational Approaches to Phenotyping: High-Throughput Phenomics

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A flexible framework for deriving assertions from electronic medical records

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Integrating systems biology models and biomedical ontologies

Hoehndorf, R., Dumontier, M., Gennari, J. H., Wimalaratne, S., de Bono, B., Cook, D. L., & Gkoutos, G. V. (2011) · BMC Systems Biology · doi:10.1186/1752-0509-5-124 · Cited by 60

A web server for comparative analysis of single-cell RNA-seq data

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Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach

Imam, F. T., Larson, S., Bandrowski, A. E., Grethe, J. S., Gupta, A., & Martone, M. E. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00111 · Cited by 57

The cell: an image library-CCDB: a curated repository of microscopy data

Orloff, D. N., Iwasa, J., Martone, M. E., Ellisman, M. H., & Kane, C. M. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1257 · Cited by 57

Representing default knowledge in biomedical ontologies: application to the integration of anatomy and phenotype ontologies

Hoehndorf, R., Frank Loebe, A., Kelso, J. F., & Heinrich Herre, B. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-377 · Cited by 57

INFERNO: inferring the molecular mechanisms of noncoding genetic variants

Amlie‐Wolf, A., Tang, M., Mlynarski, E. E., Kuksa, P. P., Valladares, O., Katanić, Ž., Tsuang, D. W., Brown, C. D., Schellenberg, G. D., & Wang, L. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky686 · Cited by 56

Cell type discovery and representation in the era of high-content single cell phenotyping

Bakken, T., Cowell, L., Aevermann, B. D., Novotny, M., Hodge, R., Miller, J. A., Lee, A., Chang, I., McCorrison, J., Pulendran, B., et al. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1977-1 · Cited by 55

An ontology for Xenopus anatomy and development

Segerdell, E., Bowes, J. B., Pollet, N., & Vize, P. D. (2008) · BMC Developmental Biology · doi:10.1186/1471-213x-8-92 · Cited by 54

The BioLexicon: a large-scale terminological resource for biomedical text mining

Thompson, P., McNaught, J., Montemagni⋄, S., Calzolari, N., Gratta, R. D., Lee, V., Marchi, S., Monachini, M., Pęzik, P., Quochi, V., et al. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-397 · Cited by 54

Enrichment of OBO ontologies

Bada, M. A., & Hunter, L. (2006) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2006.07.003 · Cited by 51

BAMS neuroanatomical ontology: design and implementation

Bota, M. (2008) · Frontiers in Neuroinformatics · doi:10.3389/neuro.11.002.2008 · Cited by 53

Populous: a tool for building OWL ontologies from templates

Jupp, S., Matthew Horridge, A., Iannone, L., Klein, J., Owen, S., Schanstra, J. P., Wolstencroft, K., & Stevens, R. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-s1-s5 · Cited by 51

The Vertebrate Trait Ontology: a controlled vocabulary for the annotation of trait data across species

Park, C. A., Bello, S. M., Smith, C. L., Hu, Z., Munzenmaier, D. H., Nigam, R., Smith, J. R., Shimoyama, M. E., Eppig, J. T., & Reecy, J. M. (2013) · Journal of Biomedical Semantics · doi:10.1186/2041-1480-4-13 · Cited by 51

Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data

Díaz-Mejía, J. J., Meng, E. C., Pico, A. R., MacParland, S. A., Ketela, T., Pugh, T. J., Bader, G. D., & Morris, J. H. (2019) · F1000Research · doi:10.12688/f1000research.18490.1 · Cited by 50

A Unified Anatomy Ontology of the Vertebrate Skeletal System

Dahdul, W., Balhoff, J. P., Blackburn, D. C., Diehl, A. D., Haendel, M. A., Hall, B. K., Lapp, H., Lundberg, J. G., Mungall, C., Ringwald, M., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051070 · Cited by 50

A top-level ontology of functions and its application in the Open Biomedical Ontologies

Burek, P., Hoehndorf, R., Frank Loebe, A., Visagie, J., Heinrich Herre, B., & Kelso, J. F. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl266 · Cited by 50

Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data

Díaz-Mejía, J. J., Meng, E. C., Pico, A. R., MacParland, S. A., Ketela, T., Pugh, T. J., Bader, G. D., & Morris, J. H. (2019) · F1000Research · doi:10.12688/f1000research.18490.3 · Cited by 49

hECA: The cell-centric assembly of a cell atlas

Chen, S., Luo, Y., Gao, H., Li, F., Chen, Y., Li, J., You, R., Hao, M., Bian, H., Xi, X., et al. (2022) · iScience · doi:10.1016/j.isci.2022.104318 · Cited by 48

RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine

Wood, E. C., Glen, A. K., Kvarfordt, L. G., Womack, F., Acevedo, L., Yoon, T. S., Ma, C., Flores, V., Sinha, M., Chodpathumwan, Y., et al. (2022) · BMC Bioinformatics · doi:10.1186/s12859-022-04932-3 · Cited by 48

A theoretical framework of immune cell phenotypic classification and discovery

Hu, Y., Liu, C., Han, W., & Wang, P. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1128423 · Cited by 46

Developing a Knowledge Graph for Pharmacokinetic Natural Product-Drug Interactions

Taneja, S. B., Callahan, T. J., Paine, M. F., Kane‐Gill, S. L., Halil Kilicoglu, B., Joachimiak, M. P., & Boyce, R. D. (2023) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2023.104341 · Cited by 46

Identifying aberrant pathways through integrated analysis of knowledge in pharmacogenomics

Hoehndorf, R., Dumontier, M., & Gkoutos, G. V. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts350 · Cited by 46

Principles of metadata organization at the ENCODE data coordination center

Hong, E. L., Sloan, C. A., Chan, E. T., Davidson, J. M., Malladi, V. S., Strattan, J. S., Hitz, B. C., Gabdank, I., Narayanan, A. K., Ho, M., et al. (2016) · Database · doi:10.1093/database/baw001 · Cited by 47

CellO: comprehensive and hierarchical cell type classification of human cells with the Cell Ontology

Bernstein, M. N., Ma, Z., Gleicher, M., & Dewey, C. N. (2021) · iScience · doi:10.1016/j.isci.2020.101913 · Cited by 45

Ontology application and use at the ENCODE DCC

Malladi, V. S., Erickson, D. T., Podduturi, N. R., Rowe, L. D., Chan, E. T., Davidson, J. M., Hitz, B. C., Ho, M., Lee, B. T., Miyasato, S. R., et al. (2015) · Database · doi:10.1093/database/bav010 · Cited by 45

Interoperability between Biomedical Ontologies through Relation Expansion, Upper-Level Ontologies and Automatic Reasoning

Hoehndorf, R., Dumontier, M., Oellrich, A., Rebholz‐Schuhmann, D., Schofield, P. N., & Gkoutos, G. V. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022006 · Cited by 44

An ontological approach to describing neurons and their relationships

Hamilton, D. J., Shepherd, G. M., Martone, M. E., & Ascoli, G. A. (2012) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2012.00015 · Cited by 42

The mouse pathology ontology, MPATH; structure and applications

Schofield, P. N., Sundberg, J. P., Sundberg, B. A., McKerlie, C., & Gkoutos, G. V. (2013) · Journal of Biomedical Semantics · doi:10.1186/2041-1480-4-18 · Cited by 42

A common layer of interoperability for biomedical ontologies based on OWL EL

Hoehndorf, R., Dumontier, M., Oellrich, A., Wimalaratne, S., Rebholz‐Schuhmann, D., Schofield, P. N., & Gkoutos, G. V. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr058 · Cited by 42

Requirements and ontology for a G protein-coupled receptor oligomerization knowledge base

Skrabanek, L. A., Murcia, M., Bouvier, M., Devi, L. A., George, S. R., Lohse, M. J., Milligan, G., Neubig, R. R., Palczewski, K., Parmentier, M., et al. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-177 · Cited by 44

The cellular microscopy phenotype ontology

Jupp, S., MALONE, J. M., Burdett, T., Hèriché, J.-K., Williams, E. M., Ellenberg, J., Parkinson, H., & Rustici, G. (2016) · Journal of Biomedical Semantics · doi:10.1186/s13326-016-0074-0 · Cited by 41

Cross-Ontology Multi-level Association Rule Mining in the Gene Ontology

Manda, P., Ozkan, S., Wang, H., McCarthy, F., & Bridges, S. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047411 · Cited by 41

Developing a kidney and urinary pathway knowledge base

Jupp, S., Klein, J., Schanstra, J. P., & Stevens, R. (2011) · Journal of Biomedical Semantics · doi:10.1186/2041-1480-2-s2-s7 · Cited by 40

Improving the interoperability of biomedical ontologies with compound alignments

Oliveira, D., & Pesquita, C. (2018) · Journal of Biomedical Semantics · doi:10.1186/s13326-017-0171-8 · Cited by 40

The Human Cell Atlas: Technical approaches and challenges

Hon, C.-C., Shin, J. W., Carninci, P., & Stubbington, M. J. T. (2017) · Briefings in Functional Genomics · doi:10.1093/bfgp/elx029 · Cited by 40

TermGenie – a web-application for pattern-based ontology class generation

Dietze, H., Berardini, T., Foulger, R. E., Hill, D. P., Lomax, J., Osumi-Sutherland, D., Roncaglia, P., & Mungall, C. (2014) · Journal of Biomedical Semantics · doi:10.1186/2041-1480-5-48 · Cited by 39

OntoCAT -- simple ontology search and integration in Java, R and REST/JavaScript

Adamusiak, T., Burdett, T., Kurbatova, N., van der Velde, K. J., Abeygunawardena, N., Antonakaki, D., Kapushesky, M., Parkinson, H., & Swertz, M. A. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-218 · Cited by 39

An anatomy ontology to represent biological knowledge in Dictyostelium discoideum

Gaudet, P., Williams, J. G., Fey, P., & Chisholm, R. L. (2008) · BMC Genomics · doi:10.1186/1471-2164-9-130 · Cited by 40

Mapping genes for plant structure, development and evolution: functional mapping meets ontology

He, Q., Berg, A. S., Li, Y., Vallejos, C. E., & Wu, R. (2009) · Trends in Genetics · doi:10.1016/j.tig.2009.11.004 · Cited by 38

Embedding to reference t-SNE space addresses batch effects in single-cell classification

Poličar, P. G., Stražar, M., & Zupan, B. (2021) · Machine Learning · doi:10.1007/s10994-021-06043-1 · Cited by 38

Providing Adverse Outcome Pathways from the AOP-Wiki in a Semantic Web Format to Increase Usability and Accessibility of the Content

Martens, M., Evelo, C. T., & Willighagen, E. (2022) · Applied In Vitro Toxicology · doi:10.1089/aivt.2021.0010 · Cited by 38

The KUPKB: a novel Web application to access multiomics data on kidney disease

Klein, J., Jupp, S., Moulos, P., Fernandez, M. S. J.-C., Buffin‐Meyer, B., Casemayou, A., Chaaya, R., CHARONIS, A. S., Bascands, J., Stevens, R., et al. (2012) · The FASEB Journal · doi:10.1096/fj.11-194381 · Cited by 37

scMRMA: single cell multiresolution marker-based annotation

Li, J., Sheng, Q., Shyr, Y., & Liu, Q. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab931 · Cited by 38

Functional tissue units and their primary tissue motifs in multi-scale physiology

de Bono, B., Grenon, P., Baldock, R., & Hunter, P. J. (2013) · Journal of Biomedical Semantics · doi:10.1186/2041-1480-4-22 · Cited by 37

ImmuSort, a database on gene plasticity and electronic sorting for immune cells

Wang, P., Yang, Y., Han, W., & Ma, D. (2015) · Scientific Reports · doi:10.1038/srep10370 · Cited by 37

An improved ontological representation of dendritic cells as a paradigm for all cell types

Masci, A. M., Arighi, C. N., Diehl, A. D., Lieberman, A. E., Mungall, C., Scheuermann, R. H., Smith, B., & Cowell, L. G. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-70 · Cited by 35

Hematopoietic cell types: Prototype for a revised cell ontology

Diehl, A. D., Augustine, A. D., Blake, J. A., Cowell, L. G., Gold, E. S., Gondré-Lewis, T. A., Masci, A. M., Meehan, T. F., Morel, P. A., Nijnik, A., et al. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2010.01.006 · Cited by 35

PhenoGO: an integrated resource for the multiscale mining of clinical and biological data

Sam, L. T., Mendonça, E. A., Li, J., Blake, J. A., Friedman, C., & Lussier, Y. A. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-s2-s8 · Cited by 35

Ten Simple Rules for Selecting a Bio-ontology

MALONE, J. M., Stevens, R., Jupp, S., Hancocks, T., Parkinson, H., & Brooksbank, C. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004743 · Cited by 35

Chinese Immune Multi-Omics Atlas

Yin, J., Zheng, Y., Huang, Z., Zhou, W., Yuan, Y., Cai, P., Bai, Y., Yang, S., Gao, Y., Duan, S., et al. (2026) · Science · doi:10.1126/science.adt3130 · Cited by 36

Integrating phenotype ontologies with PhenomeNET

Rodríguez‐García, M. Á., Gkoutos, G. V., Schofield, P. N., & Hoehndorf, R. (2017) · Journal of Biomedical Semantics · doi:10.1186/s13326-017-0167-4 · Cited by 33

Mapping molecular responses to xenoestrogens through Gene Ontology and pathway analysis of toxicogenomic data

Currie, R. A., Orphanides, G., & Moggs, J. G. (2005) · Reproductive Toxicology · doi:10.1016/j.reprotox.2005.03.014 · Cited by 33

A community-based transcriptomics classification and nomenclature of neocortical cell types

Yuste, R., Hawrylycz, M., Aalling, N., Aguilar-Valles, A., Arendt, D., Armañanzas, R., Ascoli, G. A., Bielza, C., Bokharaie, V., Bergmann, T. B., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0685-8 · Cited by 32

A bioinformatics analysis of the cell line nomenclature

Sarntivijai, S., Ade, A. S., Athey, B. D., & States, D. J. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn502 · Cited by 32

The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions

de Bono, B., Hoehndorf, R., Wimalaratne, S., Gkoutos, G. V., & Grenon, P. (2011) · BMC Research Notes · doi:10.1186/1756-0500-4-313 · Cited by 32

The Stem Cell Discovery Engine: an integrated repository and analysis system for cancer stem cell comparisons

Sui, S. J. H., Begley, K., Reilly, D. S., Chapman, B., McGovern, R., Rocca‐Serra, P., Maguire, E., Altschuler, G. M., Hansen, T. A. A., Sompallae, R. R., et al. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1051 · Cited by 30

Semantic prioritization of novel causative genomic variants

Boudellioua, I., Razali, R., Kulmanov, M., Hashish, Y., Bajić, V. B., Serra, E. G., Schoenmakers, N. A., Gkoutos, G. V., Schofield, P. N., & Hoehndorf, R. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005500 · Cited by 31

Representing Phenotypes in OWL.

Mungall, C. (2007) · Cited by 30

Bio-Ontology and text: bridging the modeling gap

Friedman, C., Borlawsky, T. B., Shagina, L., Xing, H., & Lussier, Y. A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl405 · Cited by 30

Automatic identification of small molecules that promote cell conversion and reprogramming

Napolitano, F., Rapakoulia, T., Annunziata, P., Hasegawa, A., Cardon, M., Napolitano, S., Vaccaro, L., Iuliano, A., Wanderlingh, L. G., Kasukawa, T., et al. (2021) · Stem Cell Reports · doi:10.1016/j.stemcr.2021.03.028 · Cited by 29

The Drosophila phenotype ontology

Osumi-Sutherland, D., Marygold, S. J., Millburn, G., McQuilton, P., Ponting, L., Stefancsik, R., Falls, K. M., Brown, N. H., & Gkoutos, G. V. (2013) · Journal of Biomedical Semantics · doi:10.1186/2041-1480-4-30 · Cited by 28

Semantic integration of physiology phenotypes with an application to the Cellular Phenotype Ontology

Hoehndorf, R., Harris, M. A., Heinrich Herre, B., Rustici, G., & Gkoutos, G. V. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts250 · Cited by 28

singleCellBase: a high-quality manually curated database of cell markers for single cell annotation across multiple species

Meng, F.-L., Huang, X., Qin, W., Liu, K.-B., Wang, Y., Li, M., Ren, Y., Li, Y.-Z., & Sun, Y. (2023) · Biomarker Research · doi:10.1186/s40364-023-00523-3 · Cited by 27

BodyMap-Xs: anatomical breakdown of 17 million animal ESTs for cross-species comparison of gene expression

Ogasawara, O. (2005) · Nucleic Acids Research · doi:10.1093/nar/gkj137 · Cited by 27

Transcriptomine, a web resource for nuclear receptor signaling transcriptomes

Ochsner, S. A., Watkins, C. M., McOwiti, A., Xu, X., Darlington, Y. F., Dehart, M., Cooney, A. J., Steffen, D. L., Becnel, L. B., & McKenna, N. J. (2012) · Physiological Genomics · doi:10.1152/physiolgenomics.00033.2012 · Cited by 27

Identification of OBO nonalignments and its implications for OBO enrichment

Bada, M. A., & Hunter, L. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn194 · Cited by 27

A Scale-Out RDF Molecule Store for Distributed Processing of Biomedical Data

Newman, A., Bouton, C., & Hunter, J. (2008) · Cited by 27

Harmonising knowledge for safer materials via the “NanoCommons” Knowledge Base

Maier, D., Exner, T. E., Papadiamantis, A. G., Ammar, A., Tsoumanis, A., Doganis, P., Rouse, I., Slater, L. T., Gkoutos, G. V., Jeliazkova, N., et al. (2023) · Frontiers in Physics · doi:10.3389/fphy.2023.1271842 · Cited by 26

The OWL of Biomedical Investigations

Courtot, M., Bug, W. J., Gibson, F., Lister, A., MALONE, J. M., Schober, D., Brinkman, R. R., & Ruttenberg, A. (2008) · doi:10.25405/ncl.34605366 · Cited by 26

ApiNATOMY: A novel toolkit for visualizing multiscale anatomy schematics with phenotype-related information

de Bono, B., Grenon, P., & Sammut, S. (2012) · Human Mutation · doi:10.1002/humu.22065 · Cited by 26

Semantics-Based Composition of Integrated Cardiomyocyte Models Motivated by Real-World Use Cases

Neal, M. L., Carlson, B. E., Thompson, C. T., James, R. C., Kim, K., Tran, K., Crampin, E. J., Cook, D. L., & Gennari, J. H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0145621 · Cited by 25

CellKb Immune: a manually curated database of mammalian hematopoietic marker gene sets for rapid cell type identificationPreprint

Patil, A., & Patil, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.01.389890 · Cited by 25

Manual Gene Ontology annotation workflow at the Mouse Genome Informatics Database

Drabkin, H., Blake, J. A., & Database, F. T. M. G. I. (2012) · Database · doi:10.1093/database/bas045 · Cited by 24

Lineage-resolved analysis of embryonic gene expression evolution in C. elegans and C. briggsae

Large, C. R. L., Khanal, R., Hillier, L., Huynh, C., Kubo, C. A., Kim, J., Waterston, R., & Murray, J. I. (2025) · Science · doi:10.1126/science.adu8249 · Cited by 26

A MOD(ern) perspective on literature curation

Hirschman, J., Berardini, T., Drabkin, H., & Howe, D. G. (2010) · Molecular Genetics and Genomics · doi:10.1007/s00438-010-0525-8 · Cited by 24

Using the Gene Ontology to Annotate Key Players in Parkinson’s Disease

Foulger, R. E., Denny, P., Hardy, J., Martin, M. J., Sawford, T., & Lovering, R. C. (2016) · Neuroinformatics · doi:10.1007/s12021-015-9293-2 · Cited by 24

An Overview of the CRAFT Concept Annotation Guidelines.

Bada, M. A., Hunter, L. E., Eckert, M., & Palmer, M. (2010) · PubMed Central · Cited by 24

A formal ontology of subcellular neuroanatomy

Larson, S. (2007) · Frontiers in Neuroinformatics · doi:10.3389/neuro.11.003.2007 · Cited by 24

MAO: a Multiple Alignment Ontology for nucleic acid and protein sequences

Thompson, J. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki735 · Cited by 24

Ontologizing health systems data at scale: making translational discovery a reality

Callahan, T. J., Stefanski, A. L., Wyrwa, J. M., Zeng, C., Ostropolets, A., Banda, J. M., Baumgartner, W. A., Boyce, R. D., Casiraghi, E., Coleman, B., et al. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00830-x · Cited by 29

Desiderata for ontologies to be used in semantic annotation of biomedical documents

Bada, M. A., & Hunter, L. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2010.10.002 · Cited by 22

Representing ontogeny through ontology: A developmental biologist's guide to the gene ontology

Hill, D. P., Berardini, T., Howe, D. G., & Auken, K. M. V. (2009) · Molecular Reproduction and Development · doi:10.1002/mrd.21130 · Cited by 22

Querying neXtProt nanopublications and their value for insights on sequence variants and tissue expression

Chichester, C., Gaudet, P., Karch, O., Groth, P., Lane, L., Bairoch, A., Mons, B., & Loizou, A. (2014) · Journal of Web Semantics · doi:10.1016/j.websem.2014.05.001 · Cited by 12

Bootstrapping Biomedical Ontologies for Scientific Text using NELL

Movshovitz‐Attias, D., & Cohen, W. W. (2018) · Figshare · doi:10.1184/r1/6475493 · Cited by 21

Gene panel selection for targeted spatial transcriptomics

Zhang, Y., Petukhov, V., Biederstedt, E., Que, R. A., Zhang, K., & Kharchenko, P. V. (2024) · Genome biology · doi:10.1186/s13059-024-03174-1 · Cited by 22

An open data ecosystem for cell migration research

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Preliminary evaluation of the CellFinder literature curation pipeline for gene expression in kidney cells and anatomical parts

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