In the Garden of Branching Processes. - Karin S. Dorman; Janet S. Sinsheimer; Kenneth Lange (SIAM Rev., 2004)

Dual multiple change-point model leads to more accurate recombination detection. - Vladimir N. Minin; Karin S. Dorman; Fang Fang; Marc A. Suchard (Bioinform., 2005)

Hot and Cold: Spatial Fluctuation in HIV-1 Recombination Rates. - Misha L. Rajaram; Vladimir N. Minin; Marc A. Suchard; Karin S. Dorman (BIBE, 2007)

Markov Model Variants for Appraisal of Coding Potential in Plant DNA. - Michael E. Sparks; Volker Brendel; Karin S. Dorman (ISBRA, 2007)

cBrother: relaxing parental tree assumptions for Bayesian recombination detection. - Fang Fang; Jing Ding; Vladimir N. Minin; Marc A. Suchard; Karin S. Dorman (Bioinform., 2007)

mlegp: statistical analysis for computer models of biological systems using R. - Garrett M. Dancik; Karin S. Dorman (Bioinform., 2008)

Rapid Genotyping for HIV Using Supervised Learning Tools. - Misha L. Rajaram; Karin S. Dorman (BIOCOMP, 2009)

Masquerade Detection in Network Environments. - Chris Strasburg; Sandeep Krishnan; Karin S. Dorman; Samik Basu 001; Johnny S. Wong (SAINT, 2010)

Reptile: representative tiling for short read error correction. - Xiao Yang; Karin S. Dorman; Srinivas Aluru (Bioinform., 2010)

Workshop: Flexible read decomposition for improved short read error correction. - Xiao Yang; Karin S. Dorman; Srinivas Aluru (ICCABS, 2011)

Repeat-aware modeling and correction of short read errors. - Xiao Yang; Srinivas Aluru; Karin S. Dorman (BMC Bioinform., 2011)

PREMIER Turbo: Probabilistic error-correction using Markov inference in errored reads using the turbo principle. - Xin Yin; Zhao Song 003; Karin S. Dorman; Aditya Ramamoorthy (GlobalSIP, 2013)

PREMIER - PRobabilistic error-correction using Markov inference in errored reads. - Xin Yin; Zhao Song 003; Karin S. Dorman; Aditya Ramamoorthy (ISIT, 2013)

Predicting failure-proneness in an evolving software product line. - Sandeep Krishnan; Chris Strasburg; Robyn R. Lutz; Katerina Goseva-Popstojanova; Karin S. Dorman (Inf. Softw. Technol., 2013)

phylostratr: a framework for phylostratigraphy. - Zebulun Arendsee; Jing Li; Urminder Singh; Arun S. Seetharam; Karin S. Dorman; Eve Syrkin Wurtele (Bioinform., 2019)

AmpliCI: a high-resolution model-based approach for denoising Illumina amplicon data. - Xiyu Peng; Karin S. Dorman (Bioinform., 2021)

Next-generation yeast-two-hybrid analysis with Y2H-SCORES identifies novel interactors of the MLA immune receptor. - Valeria Velásquez-Zapata; J. Mitch Elmore; Sagnik Banerjee; Karin S. Dorman; Roger P. Wise (PLoS Comput. Biol., 2021)

Coarse-graining protein structures into their dynamic communities with DCI, a dynamic community identifier. - Ambuj Kumar; Pranav M. Khade; Karin S. Dorman; Robert L. Jernigan (Bioinform., 2022)

An efficient k-modes algorithm for clustering categorical datasets. - Karin S. Dorman; Ranjan Maitra (Stat. Anal. Data Min., 2022)

CAPG: comprehensive allopolyploid genotyper. - Roshan Kulkarni; Yudi Zhang; Steven B. Cannon; Karin S. Dorman (Bioinform., 2023)

Accurate estimation of molecular counts from amplicon sequence data with unique molecular identifiers. - Xiyu Peng; Karin S. Dorman (Bioinform., 2023)

Predicting allosteric pockets in protein biological assemblages. - Ambuj Kumar; Burak T. Kaynak; Karin S. Dorman; Pemra Doruker; Robert L. Jernigan (Bioinform., 2023)