Babbitt, Patricia C.

InterPro in 2019: improving coverage, classification and access to protein sequence annotations

Mitchell, A. L., Attwood, T. K., Babbitt, P. C., Blum, M., Bork, P., Bridge, A., Brown, S. D., Chang, H.-Y., El-Gebali, S., Fraser, M. I., et al. (2019) · Nucleic Acids Research

Genomics and Phylogenetic StudiesMachine Learning in Bioinformatics

Cited by 1,426

A large-scale evaluation of computational protein function prediction

Radivojac, P., Clark, W. T., Oron, T. R., Schnoes, A. M., Wittkop, T., Sokolov, A., Graim, K., Funk, C., Verspoor, K., Ben-Hur, A., et al. (2013) · Nature Methods

Bioinformatics and Genomic NetworksMachine Learning in Bioinformatics

Cited by 1,028

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Zhou, N., Jiang, Y., Bergquist, T. R., Lee, A. J., Kacsoh, B. Z., Crocker, A. W., Lewis, K. A., Georghiou, G., Nguyen, H. N., Hamid, M. N., et al. (2019) · Genome Biology

Bioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

Cited by 452

Biases in the Experimental Annotations of Protein Function and Their Effect on Our Understanding of Protein Function Space

Schnoes, A. M., Ream, D. C., Thorman, A. W., Babbitt, P. C., & Friedberg, I. (2013) · PLoS Computational Biology

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 129

structureViz: linking cytoscape and UCSF Chimera

Morris, J. H., Huang, C. C., Babbitt, P. C., & Ferrin, T. E. (2007) · Bioinformatics

Bioinformatics and Genomic NetworksProtein Structure and Dynamics

Cited by 82