A Fundamental Problem in Computer and Communication. - Sanguthevar Rajasekaran; Jaime I. Dávila (ICPADS, 2004)

Randomized Sorting On The Pops Network. - Jaime I. Dávila; Sanguthevar Rajasekaran (Int. J. Found. Comput. Sci., 2005)

Packet routing and selection on the POPS network. - Sanguthevar Rajasekaran; Jaime I. Dávila (J. Parallel Distributed Comput., 2005)

Extending Pattern Branching to Handle Challenging Instances. - Jaime I. Dávila; Sanguthevar Rajasekaran (BIBE, 2006)

Space and Time Efficient Algorithms for Planted Motif Search. - Jaime I. Dávila; Sudha Balla; Sanguthevar Rajasekaran (International Conference on Computational Science (2), 2006)

Fast Algorithms for Selecting Specific siRNA in Complete mRNA Data. - Jaime I. Dávila; Sudha Balla; Sanguthevar Rajasekaran (WABI, 2007)

Fast and Practical Algorithms for Planted (l, d) Motif Search. - Jaime I. Dávila; Sudha Balla; Sanguthevar Rajasekaran (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Approximation Algorithms for the Primer Selection, Planted Motif Search, and Related Problems. - Sudha Balla; Jaime I. Dávila; Sanguthevar Rajasekaran (Handbook of Approximation Algorithms and Metaheuristics, 2007)

Randomized Packet Routing, Selection, and Sorting on the POPS Network. - Sanguthevar Rajasekaran; Jaime I. Dávila (Handbook of Parallel Computing, 2007)

RVboost: RNA-seq variants prioritization using a boosting method. - Chen Wang 001; Jaime I. Dávila; Saurabh Baheti; Aditya Bhagwate; Xue Wang; Jean-Pierre A. Kocher; Susan L. Slager; Andrew L. Feldman; Anne J. Novak; James R. Cerhan; E. Aubrey Thompson; Yan W. Asmann (Bioinform., 2014)

MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing. - Krishna R. Kalari; Asha A. Nair; Jaysheel D. Bhavsar; Daniel R. O'Brien; Jaime I. Dávila; Matthew A. Bockol; Jinfu J. Nie; Xiaojia Tang; Saurabh Baheti; Jay B. Doughty; Sumit Middha; Hugues Sicotte; et al. (BMC Bioinform., 2014)

Bioinformatics Strategies for Identifying Regions of Epigenetic Deregulation Associated with Aberrant Transcript Splicing and RNA-editing. - Mia D. Champion; Ryan A. Hlady; Huihuang Yan; Jared Evans; Jeff Nie; Jeong-Heon Lee; James M. Bogenberger; Kannabiran Nandakumar; Jaime I. Dávila; Raymond M. Moore; Asha A. Nair; Daniel R. O'Brien; et al. (BIOINFORMATICS, 2015)

Challenges of using RNA-seq in the clinical setting. - Jaime I. Dávila (ICCABS, 2017)

Approximation Algorithms for the Primer Selection, PlantedMotif Search, and Related Problems. - Sudha Balla; Jaime I. Dávila; Marius Nicolae; Sanguthevar Rajasekaran (Handbook of Approximation Algorithms and Metaheuristics (2), 2018)

Excerno: Filtering Mutations Caused by the Clinical Archival Process in Sequencing Data. - Audrey Mitchell; Marco Ruiz; Soua Yang; Chen Wang 001; Jaime I. Dávila (ICCABS, 2021)

Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets. - Tianshu Feng; Jaime I. Dávila; Yuanhang Liu; Sangdi Lin; Shuai Huang 001; Chen Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Cancer and Tissue Prediction Using Mutational Signatures in Highly Mutated Cancers. - Julia Cordes; Jaime I. Dávila (ICCABS, 2023)

Excerno: Using Mutational Signatures in Sequencing Data to Filter False Variants Caused by Clinical Archival. - Audrey Mitchell; Marco Ruiz; Soua Yang; Chen Wang 001; Jaime I. Dávila (J. Comput. Biol., 2023)