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Ekta Khurana

Showing results (1-10 of 68) with videos related to

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Genome Biology|December 10, 2013
Learning to swim in a sea of genomic dataEkta Khurana
Nature|April 15, 2016
Cancer genomics: Hard-to-reach repairsEkta Khurana
Plos Genetics|April 4, 2020
Loss-of-function tolerance of enhancers in the human genomeDuo Xu, Omer Gokcumen, Ekta Khurana
Nature Communications|September 26, 2022
Modeling tissue-specific breakpoint proximity of structural variations from whole-genomes to identify cancer driversAlexander Martinez-Fundichely, Austin Dixon, Ekta Khurana
Genome Biology|March 29, 2020
DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structureTuan Trieu, Alexander Martinez-Fundichely, Ekta Khurana
Plos Computational Biology|March 19, 2013
Interpretation of genomic variants using a unified biological network approachEkta Khurana, Yao Fu, Jieming Chen, et al.
Current Opinion in Systems Biology|October 30, 2018
Non-coding genetic variation in cancerTawny N Cuykendall, Mark A Rubin, Ekta Khurana
Current Protocols in Bioinformatics|May 3, 2017
Using FunSeq2 for Coding and Non-Coding Variant Annotation and PrioritizationPriyanka Dhingra, Yao Fu, Mark Gerstein, et al.
The Journal of Physical Chemistry. B|November 3, 2006
Gemini surfactants at the air/water interface: a fully atomistic molecular dynamics studyEkta Khurana, Steven O Nielsen, Michael L Klein
Biorxiv : the Preprint Server for Biology|November 24, 2025
cfOncoXpress: Tumor gene expression prediction from cell-free DNA whole-genome sequencesWeiling Li, Marjorie Roskes, Alexander Martinez-Fundichely, et al.
Pageof 7

Showing results (1-10 of 68) with videos related to

Sort By:
Pageof 7
Genome Biology|December 10, 2013
Learning to swim in a sea of genomic dataEkta Khurana
Nature|April 15, 2016
Cancer genomics: Hard-to-reach repairsEkta Khurana
Plos Genetics|April 4, 2020
Loss-of-function tolerance of enhancers in the human genomeDuo Xu, Omer Gokcumen, Ekta Khurana
Nature Communications|September 26, 2022
Modeling tissue-specific breakpoint proximity of structural variations from whole-genomes to identify cancer driversAlexander Martinez-Fundichely, Austin Dixon, Ekta Khurana
Genome Biology|March 29, 2020
DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structureTuan Trieu, Alexander Martinez-Fundichely, Ekta Khurana
Plos Computational Biology|March 19, 2013
Interpretation of genomic variants using a unified biological network approachEkta Khurana, Yao Fu, Jieming Chen, et al.
Current Opinion in Systems Biology|October 30, 2018
Non-coding genetic variation in cancerTawny N Cuykendall, Mark A Rubin, Ekta Khurana
Current Protocols in Bioinformatics|May 3, 2017
Using FunSeq2 for Coding and Non-Coding Variant Annotation and PrioritizationPriyanka Dhingra, Yao Fu, Mark Gerstein, et al.
The Journal of Physical Chemistry. B|November 3, 2006
Gemini surfactants at the air/water interface: a fully atomistic molecular dynamics studyEkta Khurana, Steven O Nielsen, Michael L Klein
Biorxiv : the Preprint Server for Biology|November 24, 2025
cfOncoXpress: Tumor gene expression prediction from cell-free DNA whole-genome sequencesWeiling Li, Marjorie Roskes, Alexander Martinez-Fundichely, et al.
Pageof 7