A computational genomics pipeline for prokaryotic sequencing projects. - Andrey Kislyuk; Lee S. Katz; Sonia Agrawal; Matthew S. Hagen; Andrew B. Conley; Pushkala Jayaraman; Viswateja Nelakuditi; Jay C. Humphrey; Scott A. Sammons; Dhwani Govil; Raydel D. Mair; Kathleen M. Tatti; et al. (Bioinform., 2010)

Neisseria Base: a comparative genomics database for Neisseria meningitidis. - Lee S. Katz; Jay C. Humphrey; Andrew B. Conley; Viswateja Nelakuditi; Andrey Kislyuk; Sonia Agrawal; Pushkala Jayaraman; Brian H. Harcourt; Melissa A. Olsen-Rasmussen; Michael Frace; Nitya V. Sharma; Leonard W. Mayer; et al. (Database J. Biol. Databases Curation, 2011)

The pathway ontology - updates and applications. - Victoria Petri; Pushkala Jayaraman; Marek Tutaj; G. Thomas Hayman; Jennifer R. Smith; Jeff de Pons; Stanley J. F. Laulederkind; Timothy Lowry; Rajni Nigam; Shur-Jen Wang; Mary Shimoyama; Melinda R. Dwinell; et al. (J. Biomed. Semant., 2014)

Improved rat genome gene prediction by integration of ESTs with RNA-Seq information. - Liping Li; Enguo Chen; Chun Yang; Jun Zhu; Pushkala Jayaraman; Jeff de Pons; Catherine C. Kaczorowski; Howard J. Jacob; Andrew S. Greene; Matthew R. Hodges; Allen W. Cowley Jr.; Mingyu Liang; et al. (Bioinform., 2015)

AnthOligo: automating the design of oligonucleotides for capture/enrichment technologies. - Pushkala Jayaraman; Timothy Mosbruger; Taishan Hu; Nikolaos G. Tairis; Chao Wu; Peter M. Clark; Monica D'arcy; Deborah Ferriola; Katarzyna Mackiewicz; Xiaowu Gai; Dimitrios Monos; Mahdi Sarmady (Bioinform., 2020)

A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19. - Wonsuk Oh; Pushkala Jayaraman; Pranai Tandon; Udit S. Chaddha; Patricia H. Kovatch; Alexander W. Charney; Benjamin S. Glicksberg; Girish N. Nadkarni (Artif. Intell. Medicine, 2024)

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. - Faris F. Gulamali; Pushkala Jayaraman; Ashwin S. Sawant; Jacob Desman; Benjamin Fox; Annette Chang; Brian Y. Soong; Naveen Arivazagan; Alexandra S. Reynolds; Son Q. Duong; Akhil Vaid; Patricia H. Kovatch; et al. (npj Digit. Medicine, 2024)

A Primer on Reinforcement Learning in Medicine for Clinicians. - Pushkala Jayaraman; Jacob Desman; Moein Sabounchi; Girish N. Nadkarni; Ankit Sakhuja (npj Digit. Medicine, 2024)

Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. - Joy Jiang; Ha My Thi Vy; Alexander Charney; Patricia H. Kovatch; Vivek Reddy; Pushkala Jayaraman; Ron Do; Rohan Khera; Sumeet Chugh; Deepak L. Bhatt; Akhil Vaid; Joshua Lampert; et al. (npj Digit. Medicine, 2024)