Pierre Bushel
Lecturer

Pierre Bushel

Adjunct Lecturer on Biostatistics

Biostatistics

pbushel@hsph.harvard.edu


Overview

Dr. Bushel’s research focuses primarily on predictive toxicogenomics, underlying regulatory mechanisms of transcriptional networks, cancer genomics and gene biomarker discovery. He and his collaborators use bioinformatics, computational biology and machine learning to address environmental and toxicologic concerns pertaining to public health. In particular, he designs and implements analytical methodologies for integrative analyses of genomics, genetics, epigenetic, pathology images and other big data types. In addition, he develops software and databases for toxico-environmental health informatics and deep learning for massive analysis of gene expression data.

Acetaminophen toxicity, hepatocellular carcinoma, anticancer therapeutic drug combinations, interactions between genomes, mode of action crosstalk, single-cell RNA-Seq data clustering and analytics for reproducible science in big data through the U.S. FDA-led Massive Analysis and Quality Control (MAQC), SEquence Quality Control (SEQC) consortiums are current areas of interest.


Bibliography

Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions.

Gong B, Li D, Kusko R, Novoradovskaya N, Zhang Y, Wang S, Pabón-Peña C, Zhang Z, Lai K, Cai W, LoCoco JS, Lader E, Richmond TA, Mittal VK, Liu LC, Johann DJ, Willey JC, Bushel PR, Yu Y, Xu C, Chen G, Burgess D, Cawley S, Giorda K, Haseley N, Qiu F, Wilkins K, Arib H, Attwooll C, Babson K, Bao L, Bao W, Lucas AB, Best H, Bhandari A, Bisgin H, Blackburn J, Blomquist TM, Boardman L, Burgher B, Butler DJ, Chang CJ, Chaubey A, Chen T, Chierici M, Chin CR, Close D, Conroy J, Cooley Coleman J, Craig DJ, Crawford E, Del Pozo A, Deveson IW, Duncan D, Eterovic AK, Fan X, Foox J, Furlanello C, Ghosal A, Glenn S, Guan M, Haag C, Hang X, Happe S, Hennigan B, Hipp J, Hong H, Horvath K, Hu J, Hung LY, Jarosz M, Kerkhof J, Kipp B, Kreil DP, Labaj P, Lapunzina P, Li P, Li QZ, Li W, Li Z, Liang Y, Liu S, Liu Z, Ma C, Marella N, Martín-Arenas R, Megherbi DB, Meng Q, Mieczkowski PA, Morrison T, Muzny D, Ning B, Parsons BL, Paweletz CP, Pirooznia M, Qu W, Raymond A, Rindler P, Ringler R, Sadikovic B, Scherer A, Schulze E, Sebra R, Shaknovich R, Shi Q, Shi T, Silla-Castro JC, Smith M, López MS, Song P, Stetson D, Strahl M, Stuart A, Supplee J, Szankasi P, Tan H, Tang LY, Tao Y, Thakkar S, Thierry-Mieg D, Thierry-Mieg J, Thodima VJ, Thomas D, Tichý B, Tom N, Garcia EV, Verma S, Walker K, Wang C, Wang J, Wang Y, Wen Z, Wirta V, Wu L, Xiao C, Xiao W, Xu S, Yang M, Ying J, Yip SH, Zhang G, Zhang S, Zhao M, Zheng Y, Zhou X, Mason CE, Mercer T, Tong W, Shi L, Jones W, Xu J.

Genome Biol. 2021 04 16. 22(1):109. PMID: 33863344

A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency.

Jones W, Gong B, Novoradovskaya N, Li D, Kusko R, Richmond TA, Johann DJ, Bisgin H, Sahraeian SME, Bushel PR, Pirooznia M, Wilkins K, Chierici M, Bao W, Basehore LS, Lucas AB, Burgess D, Butler DJ, Cawley S, Chang CJ, Chen G, Chen T, Chen YC, Craig DJ, Del Pozo A, Foox J, Francescatto M, Fu Y, Furlanello C, Giorda K, Grist KP, Guan M, Hao Y, Happe S, Hariani G, Haseley N, Jasper J, Jurman G, Kreil DP, Labaj P, Lai K, Li J, Li QZ, Li Y, Li Z, Liu Z, López MS, Miclaus K, Miller R, Mittal VK, Mohiyuddin M, Pabón-Peña C, Parsons BL, Qiu F, Scherer A, Shi T, Stiegelmeyer S, Suo C, Tom N, Wang D, Wen Z, Wu L, Xiao W, Xu C, Yu Y, Zhang J, Zhang Y, Zhang Z, Zheng Y, Mason CE, Willey JC, Tong W, Shi L, Xu J.

Genome Biol. 2021 04 16. 22(1):111. PMID: 33863366

Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology.

Deveson IW, Gong B, Lai K, LoCoco JS, Richmond TA, Schageman J, Zhang Z, Novoradovskaya N, Willey JC, Jones W, Kusko R, Chen G, Madala BS, Blackburn J, Stevanovski I, Bhandari A, Close D, Conroy J, Hubank M, Marella N, Mieczkowski PA, Qiu F, Sebra R, Stetson D, Sun L, Szankasi P, Tan H, Tang LY, Arib H, Best H, Burgher B, Bushel PR, Casey F, Cawley S, Chang CJ, Choi J, Dinis J, Duncan D, Eterovic AK, Feng L, Ghosal A, Giorda K, Glenn S, Happe S, Haseley N, Horvath K, Hung LY, Jarosz M, Kushwaha G, Li D, Li QZ, Li Z, Liu LC, Liu Z, Ma C, Mason CE, Megherbi DB, Morrison T, Pabón-Peña C, Pirooznia M, Proszek PZ, Raymond A, Rindler P, Ringler R, Scherer A, Shaknovich R, Shi T, Smith M, Song P, Strahl M, Thodima VJ, Tom N, Verma S, Wang J, Wu L, Xiao W, Xu C, Yang M, Zhang G, Zhang S, Zhang Y, Shi L, Tong W, Johann DJ, Mercer TR, Xu J.

Nat Biotechnol. 2021 09. 39(9):1115-1128. PMID: 33846644