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

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

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

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

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