DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure by Tuan Trieu, Alexander Martinez-Fundichely, Ekta Khurana

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Modeling tissue-specific breakpoint proximity of structural variations from whole-genomes to identify cancer drivers by Alexander Martinez-Fundichely, Austin Dixon, Ekta Khurana

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PeSV-Fisher: identification of somatic and non-somatic structural variants using next generation sequencing data. by Geòrgia Escaramís, Cristian Tornador, Laia Bassaganyas, Raquel Rabionet, Jose M C Tubio, Alexander Martínez-Fundichely, Mario Cáceres, Marta Gut, Stephan Ossowski, Xavier Estivill

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Correction: PeSV-Fisher: Identification of Somatic and Non-Somatic Structural Variants Using Next Generation Sequencing Data. by Geòrgia Escaramís, Cristian Tornador, Laia Bassaganyas, Raquel Rabionet, Jose M. C. Tubio, Alexander Martínez-Fundichely, Mario Cáceres, Marta Gut, Stephan Ossowski, Xavier Estivill

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Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network by Priyanka Dhingra, Alexander Martinez-Fundichely, Adeline Berger, Franklin W. Huang, Andre Neil Forbes, Eric Minwei Liu, Deli Liu, Andrea Sboner, Pablo Tamayo, David S. Rickman, Mark A. Rubin, Ekta Khurana

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