M. Basseville and I. Nikiforov, Detection of Abrupt Changes: Theory and Application, 1993.
URL : https://hal.archives-ouvertes.fr/hal-00008518

R. Bellman, On the approximation of curves by line segments using dynamic programming for Reference bellman, Commun. ACM, vol.4, pp.1-18, 1961.

L. Boysen, A. Kempe, V. Liebscher, A. Munk, and O. Wittich, Consistencies and rates of convergence of jump-penalized least squares estimators, The Annals of Statistics, vol.37, issue.1, pp.157-183, 2009.
DOI : 10.1214/07-AOS558

B. Brodsky and B. Darkhovsky, Non-parametric Statistical Diagnosis: Problems and Methods, 2000.
DOI : 10.1007/978-94-015-9530-8

A. Dehman, C. Ambroise, and P. Neuvial, Performance of a blockwise approach in variable selection using linkage disequilibrium information, BMC Bioinformatics, vol.95, issue.2, 2015.
DOI : 10.1093/biomet/asn007
URL : https://hal.archives-ouvertes.fr/hal-01193074

J. R. Dixon, S. Selvaraj, F. Yue, A. Kim, Y. Li et al., Topological domains in mammalian genomes identified by analysis of chromatin interactions, Nature, vol.148, issue.7398, pp.376-380, 2012.
DOI : 10.1038/nature11082

I. Delatola, E. Lebarbier, E. Mary-huard, T. Radvanyi, F. Robin et al., SegCorr: A statistical procedure for the detection of genomic regions of correlated expression, 2015.

M. Lavielle, Using penalized contrasts for the change-point problem, Signal Processing, vol.85, issue.8, pp.1501-1510, 2005.
DOI : 10.1016/j.sigpro.2005.01.012
URL : https://hal.archives-ouvertes.fr/inria-00070662

M. Lavielle and E. Moulines, Least-squares Estimation of an Unknown Number of Shifts in a Time Series, Journal of Time Series Analysis, vol.21, issue.1, pp.33-59, 2000.
DOI : 10.1111/1467-9892.00172

E. Lebarbier, Detecting multiple change-points in the mean of Gaussian process by model selection, Signal Processing, vol.85, issue.4, pp.717-736, 2005.
DOI : 10.1016/j.sigpro.2004.11.012
URL : https://hal.archives-ouvertes.fr/inria-00071847

C. Lévy-leduc, M. Delattre, T. Mary-huard, and S. Robin, Two-dimensional segmentation for analyzing Hi-C data, Bioinformatics, vol.30, issue.17, pp.386-392, 2014.
DOI : 10.1093/bioinformatics/btu443

P. Massart, A Non-asymptotic Theory for Model Selection, European Congress of Mathematics, pp.309-324, 2004.
DOI : 10.4171/009-1/20

A. Tartakovsky, I. Nikiforov, and M. Basseville, Sequential Analysis: Hypothesis Testing and Changepoint Detection, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01151824

Y. Yao and S. T. Au, Least-squares estimation of a step function, Sankhya Ser. A, vol.51, pp.370-381, 1989.