Publications

See below for a detailed list of publications from the Tavaré group.

The left column contains journal articles.

  • Dinh, K.N. et al. (2025) “Approximate Bayesian computation sequential Monte Carlo via random forests,” Statistics and Computing, 35(6), p. 219. Available at: https://doi.org/10.1007/s11222-025-10748-x.

    McPherson, A. et al. (2025) “Ongoing genome doubling shapes evolvability and immunity in ovarian cancer,” Nature, 644(8078), pp. 1078–1087. Available at: https://doi.org/10.1038/s41586-025-09240-3.

    Dinh, K.N. et al. (2025) “CINner: modeling and simulation of chromosomal instability in cancer at single-cell resolution,” PLOS Computational Biology, 21, p. e1012902. Available at: https://doi.org/10.1371/journal.pcbi.1012902.

    Tavaré, S. (2025) “Birth and death processes in phylogenetics and population genetics,” Philosophical Transactions of the Royal Society B: Biological Sciences, 380(1919), p. 20230300. Available at: https://doi.org/10.1098/rstb.2023.0300.

    Ng, A.W.T. et al. (2024) “Disentangling oncogenic amplicons in esophageal adenocarcinoma,” Nature Communications, 15, p. 4074. Available at: https://doi.org/10.1038/s41467-024-47619-4.

    da Silva, P.H., Jamshidpey, A. and Tavaré, S. (2024) “Another view of sequential sampling in the birth process with immigration,” Journal of Mathematical Biology, 88, p. 27. Available at: https://doi.org/10.1007/s00285-023-02041-0.

    Melamed, D. et al. (2023) “Spatial regulation of Drosophila ovarian Follicle Stem Cell division rates and cell cycle transitions,” PLOS Genetics. Edited by K.M. Cadigan, 19, p. e1010965. Available at: https://doi.org/10.1371/journal.pgen.1010965.

    Kunes, R.Z. et al. (2023) “Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping,” Proceedings of the AAAI Conference on Artificial Intelligence, 37(7), pp. 8405–8412. Available at: https://doi.org/10.1609/aaai.v37i7.26013.

    González-Solares, E.A. et al. (2023) “Imaging and Molecular Annotation of Xenographs and Tumours (IMAXT): High throughput data and analysis infrastructure,” Biological Imaging, 3, p. e11. Available at: https://doi.org/10.1017/S2633903X23000090.

    Nowicki-Osuch, K. et al. (2023) “Single-Cell RNA Sequencing Unifies Developmental Programs of Esophageal and Gastric Intestinal Metaplasia,” Cancer Discovery, 13(6), pp. 1346–1363. Available at: https://doi.org/10.1158/2159-8290.CD-22-0824.

    da Silva, P.H. et al. (2023) “Fisher’s measure of variability in repeated samples,” Bernoulli, 29, pp. 1166-1194. Available at: https://doi.org/10.3150/22-BEJ1494.

    da Silva, P.H. et al. (2022) “Markov chains arising from biased random derangements.” arXiv. Available at: https://doi.org/10.48550/arXiv.2211.13831.

    Ng, A.W.T. et al. (2022) “Rearrangement processes and structural variations show evidence of selection in oesophageal adenocarcinomas,” Communications Biology, 5, p. 335. Available at: https://doi.org/10.1038/s42003-022-03238-7.

    Tavaré, S. (2022) “A note on the Screaming Toes game,” Journal of Applied Probability, 59, pp. 118–130. Available at: https://doi.org/10.1017/jpr.2021.32.

    Tavaré, S. (2021) “The magical Ewens sampling formula,” Bulletin of the London Mathematical Society, 53, pp. 1563–1582. Available at: https://doi.org/10.1112/blms.12537.

    Williams, E.H. et al. (2021) “CamGFR v2: A New Model for Estimating the Glomerular Filtration Rate from Standardized or Non-standardized Creatinine in Patients with Cancer,” Clinical Cancer Research, 27(5), pp. 1381–1390. Available at: https://doi.org/10.1158/1078-0432.CCR-20-3201.

    Touloumis, A., Marioni, J. and Tavaré, S. (2021) “Hypothesis Testing for the Covariance Matrix in High-Dimensional Transposable Data with Kronecker Product Dependence Structure,” Statistica Sinica, 31, pp. 1309–1329. Available at: https://doi.org/10.5705/ss.202018.0268.

    Biasci, D., Thaventhiran, J. and Tavaré, S. (2020) “Fibroblastic reticular cells predict response to immune checkpoint inhibitors.” Immunology. Available at: https://doi.org/10.1101/2020.02.19.955666.

    Perner, J. et al. (2020) “The mutREAD method detects mutational signatures from low quantities of cancer DNA,” Nature Communications, 11, p. 3166. Available at: https://doi.org/10.1038/s41467-020-16974-3.

    Jammula, S. et al. (2020) “Identification of Subtypes of Barrett’s Esophagus and Esophageal Adenocarcinoma Based on DNA Methylation Profiles and Integration of Transcriptome and Genome Data,” Gastroenterology, 158, pp. 1682-1697.e1. Available at: https://doi.org/10.1053/j.gastro.2020.01.044.

    Dinh, K.N. et al. (2020) “Statistical Inference for the Evolutionary History of Cancer Genomes,” Statistical Science, 35, pp. 129–144. Available at: https://doi.org/10.1214/19-STS7561.

  • Williams, E.H. et al. (2019) “Multicenter Validation of the CamGFR Model for Estimated Glomerular Filtration Rate,” JNCI Cancer Spectrum, 3(4), p. pkz068. Available at: https://doi.org/10.1093/jncics/pkz068.

    Spencer, S. et al. (2019) “Loss of the interleukin-6 receptor causes immunodeficiency, atopy, and abnormal inflammatory responses,” Journal of Experimental Medicine, 216(9), pp. 1986–1998. Available at: https://doi.org/10.1084/jem.20190344.

    Frankell, A.M. et al. (2019) “The landscape of selection in 551 esophageal adenocarcinomas defines genomic biomarkers for the clinic,” Nature Genetics, 51(3), pp. 506–516. Available at: https://doi.org/10.1038/s41588-018-0331-5.

    Tavaré, S. (2019) “The linear birth‒death process: an inferential retrospective,” Advances in Applied Probability, 50(A), pp. 253–269. Available at: https://doi.org/10.1017/apr.2018.84.

    Griffiths, R.C. and Tavaré, S. (2018) “Ancestral inference from haplotypes and mutations,” Theoretical Population Biology, 122, pp. 12–21. Available at: https://doi.org/10.1016/j.tpb.2018.04.006.

    Arratia, R. et al. (2018) “Simulating the component counts of combinatorial structures,” Theoretical Population Biology, 122, pp. 5–11. Available at: https://doi.org/10.1016/j.tpb.2018.02.002.

    Nicholson, A.M. et al. (2018) “Fixation and Spread of Somatic Mutations in Adult Human Colonic Epithelium,” Cell Stem Cell, 22, pp. 909-918.e8. Available at: https://doi.org/10.1016/j.stem.2018.04.020.

    Wedge, D.C. et al. (2018) “Sequencing of prostate cancers identifies new cancer genes, routes of progression and drug targets,” Nature Genetics, 50(5), pp. 682–692. Available at: https://doi.org/10.1038/s41588-018-0086-z.

    Reilein, A. et al. (2018) “Division-independent differentiation mandates proliferative competition among stem cells,” Proceedings of the National Academy of Sciences, 115, pp. E3182–E3191. Available at: https://doi.org/10.1073/pnas.1718646115.

    Asim, M. et al. (2017) “Synthetic lethality between androgen receptor signalling and the PARP pathway in prostate cancer,” Nature Communications, 8, p. 374. Available at: https://doi.org/10.1038/s41467-017-00393-y.

    Janowitz, T  et al. (2017) “New Model for Estimating Glomerular Filtration Rate in Patients With Cancer,” Journal of Clinical Oncology, 35, pp. 2798–2805. Available at: https://doi.org/10.1200/JCO.2017.72.7578.

    Noorani, A. et al. (2017) “A comparative analysis of whole genome sequencing of esophageal adenocarcinoma pre- and post-chemotherapy,” Genome Research, 27, pp. 902–912. Available at: https://doi.org/10.1101/gr.214296.116.

    Secrier, M. et al. (2016) “Mutational signatures in esophageal adenocarcinoma define etiologically distinct subgroups with therapeutic relevance,” Nature Genetics, 48, pp. 1131–1141. Available at: https://doi.org/10.1038/ng.3659.

    Touloumis, A., Marioni, J.C. and Tavaré, S. (2016) “HDTD: analyzing multi-tissue gene expression data,” Bioinformatics, 32, pp. 2193–2195. Available at: https://doi.org/10.1093/bioinformatics/btw224.

    Arratia, R., Barbour, A.D. and Tavaré, S. (2016) “Exploiting the Feller Coupling for the Ewens Sampling Formula,” Statistical Science, 31, pp. 27–29. Available at: https://doi.org/10.1214/15-STS537.

    Asim, M. et al. (2016) “Choline Kinase Alpha as an Androgen Receptor Chaperone and Prostate Cancer Therapeutic Target,” Journal of the National Cancer Institute, 108, p. djv371. Available at: https://doi.org/10.1093/jnci/djv371.

    Madhu, B. et al. (2015) “Metabolomic changes during cellular transformation monitored by metabolite–metabolite correlation analysis and correlated with gene expression,” Metabolomics, 11, pp. 1848–1863. Available at: https://doi.org/10.1007/s11306-015-0838-z.

    Paterson, A.L. et al. (2015) “Mobile element insertions are frequent in oesophageal adenocarcinomas and can mislead paired-end sequencing analysis,” BMC Genomics, 16, p. 473. Available at: https://doi.org/10.1186/s12864-015-1685-z.

    Greenwood, A.K. et al. (2015) “Genetic Mapping of Natural Variation in Schooling Tendency in the Threespine Stickleback,” G3: Genes|Genomes|Genetics, 5, pp. 761–769. Available at: https://doi.org/10.1534/g3.114.016519.

    Touloumis, A., Tavaré, S. and Marioni, J.C. (2015) “Testing the mean matrix in high-dimensional transposable data: Testing the Mean Matrix in High-Dimensional Transposable Data,” Biometrics, 71, pp. 157–166. Available at: https://doi.org/10.1111/biom.12257.

    Kirschner, K. et al. (2015) “Phenotype Specific Analyses Reveal Distinct Regulatory Mechanism for Chronically Activated p53,” PLOS Genetics. Edited by J. Gil, 11, p. e1005053. Available at: https://doi.org/10.1371/journal.pgen.1005053.

    Josephidou, M., et al. (2015) “multiSNV: a probabilistic approach for improving detection of somatic point mutations from multiple related tumour samples,” Nucleic Acids Research, 43, pp. e61–e61. Available at: https://doi.org/10.1093/nar/gkv135.

    Gubernator, M. et al. (2015) “Epigenetic Profile of Human Adventitial Progenitor Cells Correlates With Therapeutic Outcomes in a Mouse Model of Limb Ischemia,” Arteriosclerosis, Thrombosis, and Vascular Biology, 35, pp. 675–688. Available at: https://doi.org/10.1161/ATVBAHA.114.304989.

    Massie, C.E. et al. (2015) “HES5 silencing is an early and recurrent change in prostate tumourigenesis,” Endocrine-Related Cancer, 22(2), pp. 131–144. Available at: https://doi.org/10.1530/ERC-14-0454.

    Piccirillo, S.G.M. et al. (2015) “Contributions to Drug Resistance in Glioblastoma Derived from Malignant Cells in the Sub-Ependymal Zone,” Cancer Research, 75, pp. 194–202. Available at: https://doi.org/10.1158/0008-5472.CAN-13-3131.

    Silva, A.-L. et al. (2014) “Boosting Wnt activity during colorectal cancer progression through selective hypermethylation of Wnt signaling antagonists,” BMC Cancer, 14, p. 891. Available at: https://doi.org/10.1186/1471-2407-14-891.

    Cairns, J. et al. (2014) “Quantifying the impact of inter-site heterogeneity on the distribution of ChIP-seq data,” Frontiers in Genetics, 5, p. 399. Available at: https://doi.org/10.3389/fgene.2014.00399.

    Weaver, J.M.J. et al. (2014) “Ordering of mutations in preinvasive disease stages of esophageal carcinogenesis,” Nature Genetics, 46, pp. 837–843. Available at: https://doi.org/10.1038/ng.3013.

    Jauhiainen, A. et al. (2014) “Normalization of metabolomics data with applications to correlation maps,” Bioinformatics, 30, pp. 2155–2161. Available at: https://doi.org/10.1093/bioinformatics/btu175.

    Ostrow, A.Z. et al. (2014) “Fkh1 and Fkh2 Bind Multiple Chromosomal Elements in the S. cerevisiae Genome with Distinct Specificities and Cell Cycle Dynamics,” PLoS ONE, 9, p. e87647. Available at: https://doi.org/10.1371/journal.pone.0087647.

    Turro, E. et al. (2014) “Flexible analysis of RNA-seq data using mixed effects models,” Bioinformatics, 30, pp. 180–188. Available at: https://doi.org/10.1093/bioinformatics/btt624.

    Ardekani, R. et al. (2013) “Automated quantification of the schooling behaviour of sticklebacks,” EURASIP Journal on Image and Video Processing 2013, p. 61. Available at: https://doi.org/10.1186/1687-5281-2013-61.

    Vermeulen, L. et al. (2013) “Defining Stem Cell Dynamics in Models of Intestinal Tumor Initiation,” Science, 342, pp. 995–998. Available at: https://doi.org/10.1126/science.1243148.

    Fu, A.Q. et al. (2013) “Bayesian clustering of replicated time-course gene expression data with weak signals,” The Annals of Applied Statistics, 7 pp. 1334–1361. Available at: https://doi.org/10.1214/13-AOAS650.

    Ardekani, R. et al. (2013) “Assessing Senescence in Drosophila Using Video Tracking,” in L. Galluzzi et al. (eds.) Cell Senescence. Totowa, NJ: Humana Press (Methods in Molecular Biology), pp. 501–516. Available at: https://doi.org/10.1007/978-1-62703-239-1_33.

    Kozar, S. et al. (2013) “Continuous Clonal Labeling Reveals Small Numbers of Functional Stem Cells in Intestinal Crypts and Adenomas,” Cell Stem Cell, 13, pp. 626–633. Available at: https://doi.org/10.1016/j.stem.2013.08.001.

    Newman, S. et al. (2013) “The Relative Timing of Mutations in a Breast Cancer Genome,” PLoS ONE., 8, p. e64991. Available at: https://doi.org/10.1371/journal.pone.0064991.

    Zhong, Y. et al. (2013) “The level of origin firing inversely affects the rate of replication fork progression,” The Journal of Cell Biology, 201, pp. 373–383. Available at: https://doi.org/10.1083/jcb.201208060.

    Sottoriva, A. et al. (2013) “Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics,” Proceedings of the National Academy of Sciences, 110(10), pp. 4009–4014. Available at: https://doi.org/10.1073/pnas.1219747110.

    Ardekani, R., Biyani, A., et al. (2013) “Three-dimensional tracking and behaviour monitoring of multiple fruit flies,” Journal of The Royal Society Interface, 10, p. 20120547. Available at: https://doi.org/10.1098/rsif.2012.0547.

    Sottoriva, A. et al. (2013) “Single-Molecule Genomic Data Delineate Patient-Specific Tumor Profiles and Cancer Stem Cell Organization,” Cancer Research, 73(1), pp. 41–49. Available at: https://doi.org/10.1158/0008-5472.CAN-12-2273.

    Housden, B.E. et al. (2013) “Transcriptional Dynamics Elicited by a Short Pulse of Notch Activation Involves Feed-Forward Regulation by E(spl)/Hes Genes,” PLoS Genetics, 9, p. e1003162. Available at: https://doi.org/10.1371/journal.pgen.1003162.

    Ardekani, R., Tavaré, S. and Tower, J. (2013) “Assessing Senescence in Drosophila Using Video Tracking,” in L. Galluzzi et al. (eds.) Cell Senescence. Totowa, NJ: Humana Press (Methods in Molecular Biology), pp. 501–516. Available at: https://doi.org/10.1007/978-1-62703-239-1_33.

    Cairns, J.M., Lynch, A.G. and Tavaré, S. (2013) “Statistical aspects of ChIP-seq analysis,” Advances in Statistical Bioinformatics: Models and Integrative Inference for High-throughput Data. Cambridge University Press, pp. 138–169.

    Marjoram, P. and Tavaré, S. (2013) “Coalescent,” Brenner’s Encyclopedia of Genetics. Elsevier, pp. 54–57. Available at: https://doi.org/10.1016/B978-0-12-374984-0.00274-6.

    Sottoriva, A. et al. (2013) “Single-Molecule Genomic Data Delineate Patient-Specific Tumor Profiles and Cancer Stem Cell Organization,” Cancer Research, 73, pp. 41–49. Available at: https://doi.org/10.1158/0008-5472.CAN-12-2273.

    Lynch, A.G. et al. (2012) “Calling sample mix-ups in cancer population studies,” PLoS ONE, 7, p. e41815. Available at: https://doi.org/10.1371/journal.pone.0041815.

    Ardekani, R., Huang, Y.M., et al. (2012) “Using GFP video to track 3D movement and conditional gene expression in free-moving flies,” PLoS ONE, 7, p. e40506. Available at: https://doi.org/10.1371/journal.pone.0040506.

    Chandra, T. et al. (2012) “Independence of Repressive Histone Marks and Chromatin Compaction during Senescent Heterochromatic Layer Formation,” Molecular Cell, 47, pp. 203–214. Available at: https://doi.org/10.1016/j.molcel.2012.06.010.

    Curtis, C. et al. (2012) “The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups,” Nature, 486, pp. 346–352. Available at: https://doi.org/10.1038/nature10983.

    Knott, S.R.V. et al. (2012) “Forkhead transcription factors establish origin timing and long-range clustering in S. cerevisiae,” Cell, 148, pp. 99–111. Available at: https://doi.org/10.1016/j.cell.2011.12.012.

    Manolopoulou, I. et al. (2011) “A Bayesian approach to phylogeographic clustering,” Interface Focus, 1, pp. 909–921. Available at: https://doi.org/10.1098/rsfs.2011.0054.

    Speed, D. and Tavaré, S. (2011) “Sparse Partitioning: Nonlinear regression with binary or tertiary predictors, with application to association studies,” The Annals of Applied Statistics, 5, pp. 873–893. Available at: https://doi.org/10.1214/10-AOAS411.

    Siegmund, K.D. et al. (2011) “High DNA methylation pattern intratumoral diversity implies weak selection in many human colorectal cancers,” PLoS ONE, 6, p. e21657. Available at: https://doi.org/10.1371/journal.pone.0021657.

    Sottoriva, A. et al. (2011) “Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors,” PLoS Computational Biology, 7, p. e1001132. Available at: https://doi.org/10.1371/journal.pcbi.1001132.

    Narita, M. et al. (2011) “Spatial coupling of mTOR and autophagy augments secretory phenotypes,” Science, 332, pp. 966–970. Available at: https://doi.org/10.1126/science.1205407.

    Ibrahim, A.E.K. et al. (2011) “Sequential DNA methylation changes are associated with DNMT3B overexpression in colorectal neoplastic progression,” Gut, 60, pp. 499–508. Available at: https://doi.org/10.1136/gut.2010.223602.

    Cairns, J. et al. (2011) “BayesPeak—an R package for analysing ChIP-seq data,” Bioinformatics, 27, pp. 713–714. Available at: https://doi.org/10.1093/bioinformatics/btq685.

    Wilkinson, R.D. et al. (2011) “Dating Primate Divergences through an Integrated Analysis of Palaeontological and Molecular Data,” Systematic Biology, 60(1), pp. 16–31. Available at: https://doi.org/10.1093/sysbio/syq054.

    Ivakhno, S. et al. (2010) “CNAseg—a novel framework for identification of copy number changes in cancer from second-generation sequencing data,” Bioinformatics, 26, pp. 3051–3058. Available at: https://doi.org/10.1093/bioinformatics/btq587.

    Lynch, A.G. et al. (2010) “The cost of reducing starting RNA quantity for Illumina BeadArrays: A bead-level dilution experiment,” BMC Genomics, 11(1), p. 540. Available at: https://doi.org/10.1186/1471-2164-11-540.

    Ritchie, M.E. et al. (2010) “Data analysis issues for allele-specific expression using Illumina’s GoldenGate assay,” BMC Bioinformatics, 11, p. 280. Available at: https://doi.org/10.1186/1471-2105-11-280.

    Ivakhno, S. and Tavaré, S. (2010) “CNAnova: a new approach for finding recurrent copy number abnormalities in cancer SNP microarray data,” Bioinformatics, 26(11), pp. 1395–1402. Available at: https://doi.org/10.1093/bioinformatics/btq145.

    Daelemans, C. et al. (2010) “High-throughput analysis of candidate imprinted genes and allele-specific gene expression in the human term placenta,” BMC Genetics, 11(1), p. 25. Available at: https://doi.org/10.1186/1471-2156-11-25.

    Smith, M.L. et al. (2010) “Identification and correction of previously unreported spatial phenomena using raw Illumina BeadArray data,” BMC Bioinformatics, 11, p. 208. Available at: https://doi.org/10.1186/1471-2105-11-208.

    Clark, A.M. et al. (2010) “The microRNA miR-124 controls gene expression in the sensory nervous system of Caenorhabditis elegans,” Nucleic Acids Research, 38, pp. 3780–3793. Available at: https://doi.org/10.1093/nar/gkq083.

    Barbosa-Morais, N.L. et al. (2010) “A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data,” Nucleic Acids Research, 38, pp. e17–e17. Available at: https://doi.org/10.1093/nar/gkp942.


  • Curtis, C. et al. (2009) “The pitfalls of platform comparison: DNA copy number array technologies assessed,” BMC Genomics, 10, p. 588. Available at: https://doi.org/10.1186/1471-2164-10-588.

    Grover, D. et al. (2009) “Finding Behavioral Motifs in Fly Trajectories,” Communications in Information and Systems, 9, pp. 283–294. Available at: https://doi.org/10.4310/CIS.2009.v9.n3.a5.

    Avril-Sassen, S. et al. (2009) “Characterisation of microRNA expression in post-natal mouse mammary gland development,” BMC Genomics, 10, p. 548. Available at: https://doi.org/10.1186/1471-2164-10-548.

    Waskar, M. et al. (2009) “Drosophila melanogaster p53 has developmental stage-specific and sex-specific effects on adult life span indicative of sexual antagonistic pleiotropy,” Aging, 1, pp. 903–936. Available at: https://doi.org/10.18632/aging.100099.

    Grover, D. et al. (2009) “Hydrogen Peroxide Stimulates Activity and Alters Behavior in Drosophila melanogaster,” PLoS ONE, 4, p. e7580. Available at: https://doi.org/10.1371/journal.pone.0007580.

    Knott, S.R. et al. (2009) “Strategies for analyzing highly enriched IP-chip datasets,” BMC Bioinformatics, 10, p. 305. Available at: https://doi.org/10.1186/1471-2105-10-305.

    Spyrou, C. et al. (2009) “BayesPeak: Bayesian analysis of ChIP-seq data,” BMC Bioinformatics, 10, p. 299. Available at: https://doi.org/10.1186/1471-2105-10-299.

    Fernando, H. et al. (2009) “Genome-wide analysis of a G-quadruplex-specific single-chain antibody that regulates gene expression,” Nucleic Acids Research, 37, pp. 6716–6722. Available at: https://doi.org/10.1093/nar/gkp740.

    Ritchie, M.E. et al. (2009) “R/Bioconductor software for Illumina’s Infinium whole-genome genotyping BeadChips,” Bioinformatics, 25, pp. 2621–2623. Available at: https://doi.org/10.1093/bioinformatics/btp470.

    Siegmund, K.D. et al. (2009) “Many colorectal cancers are ‘flat’ clonal expansions,” Cell Cycle, 8, pp. 2187–2193. Available at: https://doi.org/10.4161/cc.8.14.9151.

    Tiemann-Boege, I. et al. (2009) “Product Length, Dye Choice, and Detection Chemistry in the Bead-Emulsion Amplification of Millions of Single DNA Molecules in Parallel,” Analytical Chemistry, 81, pp. 5770–5776. Available at: https://doi.org/10.1021/ac900633y.

    Knott, S.R.V. et al. (2009) “Genome-wide replication profiles indicate an expansive role for Rpd3L in regulating replication initiation timing or efficiency, and reveal genomic loci of Rpd3 function in Saccharomyces cerevisiae,” Genes & Development, 23, pp. 1077–1090. Available at: https://doi.org/10.1101/gad.1784309.

    Grover, D. et al. (2009) “Simultaneous tracking of movement and gene expression in multiple Drosophila melanogaster flies using GFP and DsRED fluorescent reporter transgenes,” BMC Research Notes, 2, p. 58. Available at: https://doi.org/10.1186/1756-0500-2-58.

    Wilkinson, R.D. et al. (2009) “Estimating primate divergence times by using conditioned birth-and-death processes,” Theoretical Population Biology, 75, pp. 278–285. Available at: https://doi.org/10.1016/j.tpb.2009.02.003.

    Young, A.R.J. et al. (2009) “Autophagy mediates the mitotic senescence transition,” Genes & Development, 23, pp. 798–803. Available at: https://doi.org/10.1101/gad.519709.

    Siegmund, K.D. et al. (2009) “Inferring clonal expansion and cancer stem cell dynamics from DNA methylation patterns in colorectal cancers,” Proceedings of the National Academy of Sciences, 106, pp. 4828–4833. Available at: https://doi.org/10.1073/pnas.0810276106.

    Shen, J. et al. (2009) “A screen of apoptosis and senescence regulatory genes for life span effects when over-expressed in Drosophila,” Aging, 1(2), pp. 191–211. Available at: https://doi.org/10.18632/aging.100018.

    Woo, Y.-J. et al. (2009) “Older individuals appear to acquire mitotically older colorectal cancers,” The Journal of Pathology, 217(4), pp. 483–488. Available at: https://doi.org/10.1002/path.2506.

    Jiang, R. et al. (2009) “Population Genetic Inference From Resequencing Data,” Genetics, 181, pp. 187–197. Available at: https://doi.org/10.1534/genetics.107.080630.

    Grover, D. et al. (2009) “Simultaneous tracking of movement and gene expression in multiple Drosophila melanogaster flies using GFP and DsRED fluorescent reporter transgenes,” BMC Research Notes, 2, p. 58. Available at: https://doi.org/10.1186/1756-0500-2-58.

    Dimas, A.S. et al. (2008) “Modifier Effects between Regulatory and Protein-Coding Variation,” PLoS Genetics, 4, p. e1000244. Available at: https://doi.org/10.1371/journal.pgen.1000244.

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    Karlin, S. et al. (1983) “A class of diffusion processes with killing arising in population genetics,” SIAM J. Appl. Math., 43, pp. 31–41. Available at: https://doi.org/10.1137/0143003

    Karlin, S. et al. (1982) “Linear Birth and Death Processes with Killing,” J. Appl. Prob., 19, pp. 477–487. Available at: https://doi.org/10.2307/3213507.

    Karlin, S. et al. (1982) “Detecting particular genotypes in populations under nonrandom mating,” Mathematical Biosciences, 59, pp. 57–75. Available at: https://doi.org/10.1016/0025-5564(82)90109-2.

    Karlin, S. et al. (1982) “A diffusion process with killing: the time to formation of recurrent deletrious mutant genes,” Stoch. Proc. and Applns., 13, pp. 249–261.

    Pakes, A.G. and Tavaré, S. (1981) “Comments on the Age Distribution of Markov Processes,” Adv. Appl. Prob., 13, pp. 681–703. Available at: https://doi.org/10.2307/1426967.

    Karlin, S. et al. (1981) “The detection of particular genotypes in finite populations I. Natural selection effects,” Theoretical Population Biology, 19, pp. 187–214. Available at: https://doi.org/10.1016/0040-5809(81)90017-4.

    Karlin, S. et al. (1981b) “The detection of particular genotypes in finite populations II. The effects of partial penetrance and family structure,” Theoretical Population Biology, 19, pp. 215–229. Available at: https://doi.org/10.1016/0040-5809(81)90018-6.

    Karlin, S. et al. (1981) “The detection of a recessive visible gene in finite populations,” Genetical Research, 37, pp. 33–46. Available at: https://doi.org/10.1017/S0016672300019996.

    Tavaré, S. (1979) “Dual diffusions, killed diffusions, and the age distribution problem in population genetics,” Theoretical Population Biology, 16, pp. 253–266. Available at: https://doi.org/10.1016/0040-5809(79)90016-9.

    Tavaré, S. (1980) “Time Reversal and Age Distributions, I. Discrete-Time Markov Chains,” J. Appl. Prob., 17, pp. 33–46. Available at: https://doi.org/10.2307/3212922.

    Tavaré, S. (1979) “A note on finite continuous-time Markov chains,” Biometrics, 35, pp. 831–834. Available at: https://doi.org/10.2307/2530117.

    Tavaré, S. (1979) “Sojourn times for conditioned Markov chains in genetics,” Theoret. Popn. Biol., 15, pp. 108–112. Available at: https://doi.org/10.1016/0040-5809(79)90029-7.

    ‍Oakley, J.R. et al. (1979) “Another Approach to the Assessment of Growth in Early Infancy,” Developmental Medicine & Child Neurology, 21, pp. 186–193. Available at: https://doi.org/10.1111/j.1469-8749.1979.tb01600.x. ‍

  • Deonier RC, Tavaré S & Waterman MS. Computational Genome Analysis: An Introduction, 2005. Springer Verlag, New York. 540pp. ISBN: 0-387-98785-1

    Arratia R, Barbour AD & Tavaré S. Logarithmic Combinatorial Structures: A Probabilistic Approach. EMS Monographs in Mathematics, 1, 2003. European Mathematical Society Publishing House, Zuerich. 352pp.

    Donnelly P & Tavaré S. (eds) Progress in Population Genetics and Human Evolution. IMA Volumes in Mathematics and its Applications, 87, 1997. Springer Verlag, Berlin. 330pp.

  • Lynch A.G., et al. on behalf of the OCCAMS consortium. (2022) “PCR duplicate proportion estimation and consequences for DNA copy number calculations.” pp. 259–279 in Recent Developments in Statistics and Data Science, eds. Bispo R, Henriques-Rodrigues L, Alpizar-Jara R & de Carvalho M. Vol 398, Springer Proceedings in Mathematics & Statistics, 2022. Available here.

    Tavaré S. “The history of ABC”. (2018) Chapter 2 in Handbook of Approximate Bayesian Computation. Eds. Sisson SA, Fan Y & Beaumont MA. Taylor and Francis. Available here.

    Sottoriva A. et al. (2016) “Population genetics of neoplasms.” Pp 31–42 in Frontiers in Cancer Research: Evolutionary Foundations, Revolutionary Directions, eds. Maley CC & Greaves M. Springer, New York. Available here.

    Andrews D.J. et al. (2016) “Using methylation patterns for reconstructing cell division dynamics: assessing validation experiments.” Chapter 1, pp 3–15 in Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology – Systems & Applications. Tran Q-N & Arabnia HR, editors. Morgan Kaufmann. Available here.

    Ivakhno S et al. (2015) “Pancreatic cancer”. Chapter 26, pp. 409–420 in Systems Biology of Cancer, ed. Thiagalingam S. Cambridge University Press. Available here.

    Cairns J.C. et al. (2013) “Statistical aspects of ChIP-seq analysis,” pp 138–169 in Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data, eds. Do K, Qin ZS & Vannucci M. Cambridge University Press. Available here.

    Marjoram P. et al. (2013) The coalescent,” pp. 54–57 in Brenner’s Encyclopedia of Genetics, 2nd Edition, Volume 2, eds. Maloy S & Hughes K, Academic Press, San Diego. Available here.

    Ardekani R. et al. (2012) Using non-local background modeling to quantify the schooling behaviour of sticklebacks. VAIB12: Workshop on Visual Observation and Analysis of Animal and Insect Behavior 2012. In conjunction with 21st International Conference on Pattern Recognition (ICPR 2012). Available here.

    Sottoriva A. et al. (2010) “Integrating approximate Bayesian computation with complex agent-based models for cancer research.” In COMPSTAT 2010 – Proceedings in Computational Statistics, eds. Saporta G & Lechevallier Y. Springer, Physica Verlag, pp. 57–66. Available here.

    Barbour A.D. et al. (2010) “Assessing molecular variability in cancer genomes.” In Probability and Mathematical Genetics: Papers in Honour of Sir John Kingman, eds. Bingham N & Goldie CM. Cambridge, Cambridge University Press, pp. 91-111. Available here.

    Thorne N.P. et al. (2009) “DNA methylation arrays: Methods and analysis.” In Microarray Innovations: Technology and Experimentation in Drug Discovery and Biomedical Research, ed. G. Hardiman. CRC Press/Taylor and Francis, Ch. 13, pp. 175–206. Available here.

    Journée M. et al. (2007) “Geometric optimization methods for the analysis of gene expression data.” In Principal Manifolds for Data Visualization and Dimension Reduction, eds. A. Gorban, B. Kegl, D. Winsch & A. Zinovyev. LNCSE, Springer, pp. 271–292. Available here.

    Soligo C. et al. (2007) New light on the dates of primate origins and divergence. In Primate Origins: Adaptations and Evolution. Eds. MJ Ravosa & M Dagosto. Springer Verlag, New York, pp. 29–49. ISBN: 0-387-30335-9. Available here.

    Tavaré S. (2005) “Ancestral inference for branching processes.” In Branching Processes in Biology: Variation, Growth, Extinction, eds. P Haccou, P Jagers & V Vatutin. Cambridge University Press, pp. 208–217. Available here.

    Plagnol V. et al. (2004) “Approximate Bayesian computation and MCMC.” In Monte Carlo and Quasi-Monte Carlo Methods 2002, ed. H Niederreiter, Springer-Verlag, pp. 99–114. Available here.

    Navidi W.C. et al. (2003) “The roles of mutation rate and selective pressure on observed levels of the human mitochondrial DNA deletion mtDNA4977”. In Science and Statistics: A Festschrift for Terry Speed, ed. DR Goldstein, IMS Lecture Notes – Monograph Series, Volume 40, pp. 247–258. Available here.

    Tavaré S. (2003) “Coalescent theory.” In Nature Encyclopedia of the Human Genome, Vol. 1, ed. Cooper DN, pp. 836–845. Nature Publishing Group, London. Available here.

    Griffiths R.C. et al. “The genealogy of a neutral mutation.” In Highly Structured Stochastic Systems. Eds. Green P, Hjort N and Richardson S, pp. 393–412. Oxford Statistical Science Series, Vol. 27, Oxford University Press. Available here.

    Neuhauser C. et al. (2001) The coalescent. Encyclopedia of Genetics, Vol. I. Eds. Brenner S and Miller J, pp. 392–397. Academic Press, New York. Available here.

    Barbour A.D. et al. (1998) A rate for the Erdös-Turán law. In Combinatorics, geometry and probability. A tribute to Paul Erdös. Eds. Bollobás B and Thomason A, pp. 71–80. Cambridge University Press.

    Leeflang E.P. et al. (1998) “Human germline mutation analysis by single genome PCR: application to dynamic mutations.” Chapter 37 in Genetic Instabilities and Hereditary Neurological Diseases. Eds. Wells RD and Warren ST, pp. 543–560. Academic Press, New York. Available here.

    Ewens W.J. et al. (1998) “The Ewens Sampling Formula.” In Encyclopedia of Statistical Science, Vol. 2 update. Eds. Kotz S, Read CB and Banks DL, pp. 230–234. Wiley, New York. Available here.

    Tavaré S. (1997) “Ancestral inference from DNA sequence data. “ Chapter 5 in Case Studies in Mathematical Modeling: Ecology, Physiology, and Cell Biology. Eds. Othmer HG, Adler FR, Lewis MA and Dallon J, pp. 81–96. Prentice-Hall. Available here.

    Tavaré S. et al. (1997) “Multivariate Ewens distribution. “ Chapter 41 in Discrete Multivariate Distributions. Eds. Johnson NS, Kotz S and Balakrishnan N, pp. 232-246. Wiley, New York. Available here.

    Griffiths R.C. et al. (1997) “Computational methods for the coalescent.” Chapter 10 in Progress in Population Genetics and Human Evolution. Eds. P. Donnelly P and Tavaré S. IMA Volumes in Mathematics and its Applications, 87, 165–182. Springer Verlag, Berlin. Available here.

    Tavaré S. (1995) “Calibrating the clock: using stochastic processes to measure the rate of evolution.” Chapter 5 in Calculating the Secrets of Life, Eds. Lander ES and Waterman MS, pp. 114–152. National Academy Press, Washington. Available here.

    Tavaré S. (1989) “The genealogy of the birth, death and immigration process.” Chapter 3 in Mathematical Evolutionary Theory. Ed. Feldman MW, pp. 41–56. Princeton University Press. Available here.

    Tavaré S. et al. (1988) “Some statistical aspects of the primary structure of nucleotide sequences. “ Mathematical Methods for DNA Sequences. Ed. Waterman MS, pp. 117–132. CRC Press. Available here.

    Donnelly P. et al. (1987) “A genealogical description of the infinitely-many neutral alleles model. “ Stochastic Methods in Biology. Eds. Kimura M, Kallianpur G, Hida T. Lecture Notes in Biomathematics, 70, 27–35. Springer-Verlag. Available here.

    Williamson J.A. et al. (1979) “On the independence structure that exists within a pedigree with an application to testing for a major gene.” In Progress in Clinical and Biological Research. Eds. Sing CF and Skolnick MH. 32, 271–276. AR Liss, New York. Available here.

  • Letters to the Editor

    Dunning MJ. et al. (2010) “The importance of platform annotation in interpreting microarray data: A response to “Breast cancer molecular profiling with single sample predictors: a retrospective analysis””. The Lancet Oncology, 11, p. 717. Available here.

    Lynch A.G. et al. (2007) “Numbers of CNVs and false negative rates will be underestimated if we do not account for the dependence between repeated experiments”. Amer J Hum Genet, 81, pp. 418–420. Available here.

    Markovtsova L. et al. (2001) “On a test of Depaulis and Veuille.” Mol. Biol. Evol., 18, pp. 1132–1133. Available here.

    Book Reviews

    Arratia R. et al. (1993) Probability approximations via the Poisson clumping heuristic by Aldous D, Poisson approximation by Barbour AD, Holst L and Janson S. Ann. Probab., 21, pp. 2269–2279. Available here.

    Tavaré S. (1985) Mathematical Methods of Applied Probability, by Hunter JJ. JASA., 80, pp. 1071–1072. Available here.

    Tavaré S. (1984) Genealogical and Genetic Structure, by Cannings C and Thompson EA. JASA, 79, pp. 743–744. Available here.

  • Lynch A.G. et al. (2009) “beadarray, BASH and HULK – tools to increase the value of Illumina BeadArray experiments.“ In Statistical Tools for Challenges in Bioinformatics, eds. Gusnato A, Mardia KV & Fallaize CJ. Leeds, Leeds University Press, pp. 33–37. Available here.

    Lynch A.G. et al. (2007) “Correcting for probe-design in the analysis of gene-expression microarrays.” In Systems Biology & Statistical Bioinformatics, eds. Barber S, Baxter PD & Mardia KV. Leeds, Leeds University Press, pp. 83–86. Available here.

    Tavaré S. et al. (2007) “Stochastic models for the evolution of stem cells in colon crypts.” In Systems Biology & Statistical Bioinformatics, eds. Barber S, Baxter PD & Mardia KV. Leeds, Leeds University Press, pp. 61–64. Available here.

    Marjoram P. et al. (2000) “I see dead people:” gene mapping via ancestral inference. “ Draft for Genetic Analysis Workshop 12, 2000. Available here.

    Marjoram P. et al. (2000) “Estimation in ancestral recombination graphs using Markov chain Monte Carlo.” Research Report, October 2000. Available here.

    Markovtsova L. et al. (2000) “Discussion of ‘Inference in molecular population genetics’ by Stephens and Donnelly. “ J. Royal Statist. Soc. B, 62, 647. Available here.

    Martin R.D. et al. (2000) “New light on the dates of primate origins and divergence.” Folia Primatol., 71, 358–359. Available here.

    Tavaré S. (1999) “Random trees in molecular genetics.” Bull. I.S.I., 52, 269–272. Available here.

    Tavaré S & Feng Y. (1995) “Reconstructing phylogenetic trees when sites are dependent.” Pp. 55–57 in Proceedings of Phylogeny Workshop, DIMACS Technical Report 95-48, ed. S. Tavaré, 1995. [See http://dimacs.rutgers.edu/Workshops/Phylogeny/] Available here.

    Tavaré S. (1992) “International Conference on Random Mappings, Partitions, and Permutations.” Report, Adv. Appl. Prob., 24, 761–777. Available here.

    Tavaré S. et al. (1990) “Comments on ‘Sampling strategies for distances between DNA sequences’,” by Weir and Basten. Biometrics, 46, 577–582. Available here.

    Donnelly P. et al. (1987) “The genealogy of the infinite alleles model.“ In Proceedings, First World Congress of the Bernoulli Society, 1986. VNU Sci. Press, Utrecht, pp. 701–704. Available here.

    Tavaré S. (1985) “A genealogical view of some stochastic models in population genetics.” Stoch. Proc. Applns., 19, 10. Available here.

    Tavaré S. et al. (1985) On estimating substitution rates from pairs of homologous nucleotide sequences. Manuscript, 28pp. Available here.

    Tavaré S. (1985) “The estimation of substitution rates and divergence times from DNA sequence data.” Third Rocky Mountain Regional Conference on Medical Applications of Statistics, Preprint Volume, 89–96. Available here.

    Seneta E. et al. (1982) “Stochastic models for plasmid copy number. “ First Rocky Mountain Regional Conference on Medical Applications of Statistics, Preprint Volume, 27–33. Available here.

    Tavaré S. (1980) “Mathematical models in population genetics.“ Function, 4, 26-32. Available here.

    Tavaré S. (1979) “Time reversion and age distributions. Adv. Appl. Prob., 11, 10–12. Available here.

    Tavaré S. (1979) “Conference on ecological statistics - a summary report.” J. Royal Statist. Soc. C, 27, 344–345. Available here.

    Tavaré S. (1978) “Age distributions for Markov chains in genetics.” Adv. Appl. Prob., 10, 17–19. Available here.

    Tavaré S. (1976) “Sojourn times for conditional Markov chains in genetics. “ Adv. Appl. Prob., 8, 645–647, 1976. Available here.