@article{8707,
  abstract     = {Dynamic changes in the three-dimensional (3D) organization of chromatin are associated with central biological processes, such as transcription, replication and development. Therefore, the comprehensive identification and quantification of these changes is fundamental to understanding of evolutionary and regulatory mechanisms. Here, we present Comparison of Hi-C Experiments using Structural Similarity (CHESS), an algorithm for the comparison of chromatin contact maps and automatic differential feature extraction. We demonstrate the robustness of CHESS to experimental variability and showcase its biological applications on (1) interspecies comparisons of syntenic regions in human and mouse models; (2) intraspecies identification of conformational changes in Zelda-depleted Drosophila embryos; (3) patient-specific aberrant chromatin conformation in a diffuse large B-cell lymphoma sample; and (4) the systematic identification of chromatin contact differences in high-resolution Capture-C data. In summary, CHESS is a computationally efficient method for the comparison and classification of changes in chromatin contact data.},
  author       = { Galan, Silvia and Machnik, Nick N and Kruse, Kai and Díaz, Noelia and Marti-Renom, Marc A and Vaquerizas, Juan M},
  issn         = {15461718},
  journal      = {Nature Genetics},
  pages        = {1247--1255},
  publisher    = {Springer Nature},
  title        = {{CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction}},
  doi          = {10.1038/s41588-020-00712-y},
  volume       = {52},
  year         = {2020},
}

@article{653,
  abstract     = {The extent of heterogeneity among driver gene mutations present in naturally occurring metastases - that is, treatment-naive metastatic disease - is largely unknown. To address this issue, we carried out 60× whole-genome sequencing of 26 metastases from four patients with pancreatic cancer. We found that identical mutations in known driver genes were present in every metastatic lesion for each patient studied. Passenger gene mutations, which do not have known or predicted functional consequences, accounted for all intratumoral heterogeneity. Even with respect to these passenger mutations, our analysis suggests that the genetic similarity among the founding cells of metastases was higher than that expected for any two cells randomly taken from a normal tissue. The uniformity of known driver gene mutations among metastases in the same patient has critical and encouraging implications for the success of future targeted therapies in advanced-stage disease.},
  author       = {Makohon Moore, Alvin and Zhang, Ming and Reiter, Johannes and Božić, Ivana and Allen, Benjamin and Kundu, Deepanjan and Chatterjee, Krishnendu and Wong, Fay and Jiao, Yuchen and Kohutek, Zachary and Hong, Jungeui and Attiyeh, Marc and Javier, Breanna and Wood, Laura and Hruban, Ralph and Nowak, Martin and Papadopoulos, Nickolas and Kinzler, Kenneth and Vogelstein, Bert and Iacobuzio Donahue, Christine},
  issn         = {10614036},
  journal      = {Nature Genetics},
  number       = {3},
  pages        = {358 -- 366},
  publisher    = {Nature Publishing Group},
  title        = {{Limited heterogeneity of known driver gene mutations among the metastases of individual patients with pancreatic cancer}},
  doi          = {10.1038/ng.3764},
  volume       = {49},
  year         = {2017},
}