Machine learning techniques predict and characterize toxicity between different multi-walled carbon nanotubes. - Naveena Yanamala; Lindsey M. Bishop; Vamsi K. Kodali; Patti C. Zeidler-Erdely; Aaron D. Erdely (BCB, 2016)

Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. - Nuala A. O'Leary; Mathew W. Wright; J. Rodney Brister; Stacy Ciufo; Diana Haddad; Richard McVeigh; Bhanu Rajput; Barbara Robbertse; Brian Smith-White; Danso Ako-Adjei; Alexander Astashyn; Azat Badretdin; et al. (Nucleic Acids Res., 2016)

Supervised Machine Learning Approaches Predict and Characterize Nanomaterial Exposures: MWCNT Markers in Lung Lavage Fluid. - Naveena Yanamala; Marlene S. Orandle; Vamsi K. Kodali; Lindsey M. Bishop; Patti C. Zeidler-Erdely; Jenny R. Roberts; Vincent Castranova; Aaron D. Erdely (BCB, 2017)

Classification of Carbonaceous Nanomaterials based on Patterns of Inflammatory Markers in BAL Fluid and Pathological Outcomes in Lungs. - Ishika C. Desai; William Miller; Vamsi K. Kodali; Girija Syamlal; Jenny R. Roberts; Aaron D. Erdely; Naveena Yanamala (BCB, 2018)

Consensus coding sequence (CCDS) database: a standardized set of human and mouse protein-coding regions supported by expert curation. - Shashikant Pujar; Nuala A. O'Leary; Catherine M. Farrell; Jane E. Loveland; Jonathan M. Mudge; Craig Wallin; Carlos García-Girón; Mark Diekhans; If Barnes; Ruth Bennett; Andrew E. Berry; Eric Cox; et al. (Nucleic Acids Res., 2018)