TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data. - Yan W. Asmann; Sumit Middha; Asif Hossain; Saurabh Baheti; Ying Li; High-Seng Chai; Zhifu Sun; Patrick H. Duffy; Ahmed A. Hadad; Asha A. Nair; Xiaoyu Liu; Yuji Zhang 001; et al. (Bioinform., 2012)

SAAP-RRBS: streamlined analysis and annotation pipeline for reduced representation bisulfite sequencing. - Zhifu Sun; Saurabh Baheti; Sumit Middha; Rahul Kanwar; Yuji Zhang 001; Xing Li; Andreas S. Beutler; Eric W. Klee; Yan W. Asmann; E. Aubrey Thompson; Jean-Pierre A. Kocher (Bioinform., 2012)

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)

Statistical method evaluation for differentially methylated CpGs in base resolution next-generation DNA sequencing data. - Yun Zhang 021; Saurabh Baheti; Zhifu Sun (Briefings Bioinform., 2018)

HGT-ID: an efficient and sensitive workflow to detect human-viral insertion sites using next-generation sequencing data. - Saurabh Baheti; Xiaojia Tang; Daniel R. O'Brien; Nicholas Chia; Lewis R. Roberts; Heidi Nelson; Judy C. Boughey; Liewei Wang; Matthew P. Goetz; Jean-Pierre A. Kocher; Krishna R. Kalari (BMC Bioinform., 2018)

Recommendations for performance optimizations when using GATK3.8 and GATK4. - Jacob R Heldenbrand; Saurabh Baheti; Matthew A. Bockol; Travis M. Drucker; Steven N. Hart; Matthew E. Hudson; Ravishankar K. Iyer; Michael Kalmbach; Katherine Irene Kendig; Eric W. Klee; Nathan R Mattson; Eric D. Wieben; et al. (BMC Bioinform., 2019)

Correction to: Recommendations for performance optimizations when using GATK3.8 and GATK4. - Jacob R Heldenbrand; Saurabh Baheti; Matthew A. Bockol; Travis M. Drucker; Steven N. Hart; Matthew E. Hudson; Ravishankar K. Iyer; Michael Kalmbach; Katherine Irene Kendig; Eric W. Klee; Nathan R Mattson; Eric D. Wieben; et al. (BMC Bioinform., 2019)

UNISOM: Unified Somatic Calling and Machine Learning-based Classification Enhance the Discovery of CHIP. - Shulan Tian; W. Garrett Jenkinson; Alejandro Ferrer; Huihuang Yan; Joel A Morales-Rosado; Kevin L. Wang; Terra L. Lasho; Benjamin B. Yan; Saurabh Baheti; Janet E. Olson; Linda B. Baughn; Wei Ding; et al. (Genom. Proteom. Bioinform., 2025)