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Ferhat Ay

Showing results (1-10 of 111) with videos related to

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Seminars in Cell & Developmental Biology|July 19, 2018
The role of 3D genome organization in disease: From compartments to single nucleotidesAbhijit Chakraborty, Ferhat Ay
Bioinformatics (Oxford, England)|July 15, 2025
Soffritto: a deep learning model for predicting high-resolution replication timingDante Bolzan, Ferhat Ay
Bioinformatics (Oxford, England)|October 20, 2017
Identification of copy number variations and translocations in cancer cells from Hi-C dataAbhijit Chakraborty, Ferhat Ay
Biorxiv : the Preprint Server for Biology|March 23, 2026
EpiExpr: Predicting gene expression using epigenetic data and chromatin interactionsSourya Bhattacharyya, Ferhat Ay
Nature Communications|September 17, 2024
Identifying genetic variants associated with chromatin looping and genome functionSourya Bhattacharyya, Ferhat Ay
Genome Biology|September 3, 2015
Analysis methods for studying the 3D architecture of the genomeFerhat Ay, William S Noble
Elife|February 1, 2019
Generative modeling of multi-mapping reads with mHi-C advances analysis of Hi-C studiesYe Zheng, Ferhat Ay, Sunduz Keles
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 10, 2011
SubMAP: aligning metabolic pathways with subnetwork mappingsFerhat Ay, Manolis Kellis, Tamer Kahveci
Plos One|December 4, 2009
Scalable steady state analysis of Boolean biological regulatory networksFerhat Ay, Fei Xu, Tamer Kahveci
Nature Protocols|January 26, 2020
Identifying statistically significant chromatin contacts from Hi-C data with FitHiC2Arya Kaul, Sourya Bhattacharyya, Ferhat Ay
Pageof 12

Showing results (1-10 of 111) with videos related to

Sort By:
Pageof 12
Seminars in Cell & Developmental Biology|July 19, 2018
The role of 3D genome organization in disease: From compartments to single nucleotidesAbhijit Chakraborty, Ferhat Ay
Bioinformatics (Oxford, England)|July 15, 2025
Soffritto: a deep learning model for predicting high-resolution replication timingDante Bolzan, Ferhat Ay
Bioinformatics (Oxford, England)|October 20, 2017
Identification of copy number variations and translocations in cancer cells from Hi-C dataAbhijit Chakraborty, Ferhat Ay
Biorxiv : the Preprint Server for Biology|March 23, 2026
EpiExpr: Predicting gene expression using epigenetic data and chromatin interactionsSourya Bhattacharyya, Ferhat Ay
Nature Communications|September 17, 2024
Identifying genetic variants associated with chromatin looping and genome functionSourya Bhattacharyya, Ferhat Ay
Genome Biology|September 3, 2015
Analysis methods for studying the 3D architecture of the genomeFerhat Ay, William S Noble
Elife|February 1, 2019
Generative modeling of multi-mapping reads with mHi-C advances analysis of Hi-C studiesYe Zheng, Ferhat Ay, Sunduz Keles
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 10, 2011
SubMAP: aligning metabolic pathways with subnetwork mappingsFerhat Ay, Manolis Kellis, Tamer Kahveci
Plos One|December 4, 2009
Scalable steady state analysis of Boolean biological regulatory networksFerhat Ay, Fei Xu, Tamer Kahveci
Nature Protocols|January 26, 2020
Identifying statistically significant chromatin contacts from Hi-C data with FitHiC2Arya Kaul, Sourya Bhattacharyya, Ferhat Ay
Pageof 12