Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Duygu Ucar

Showing results (1-10 of 72) with videos related to

Pageof 8
Sort By:
The Public Policy and Aging Report|December 29, 2023
Sex Differences in Immune System Aging and Responsiveness to VaccinationSteven Yanicke, Duygu Ucar
Peerj|November 29, 2017
I-ATAC: interactive pipeline for the management and pre-processing of ATAC-seq samplesZeeshan Ahmed, Duygu Ucar
Epigenomics|May 6, 2015
Cell-specific gene promoters are marked by broader spans of H3K4me3 and are associated with robust gene expression patternsDuygu Ucar, Dashzeveg Bayarsaihan
Molecular and Clinical Oncology|January 26, 2016
Amplification of the bromodomain-containing protein 4 gene in ovarian high-grade serous carcinoma is associated with worse prognosis and survivalDuygu Ucar, Douglas I Lin
Nucleic Acids Research|January 27, 2011
Combinatorial chromatin modification patterns in the human genome revealed by subspace clusteringDuygu Ucar, Qingyang Hu, Kai Tan
Bioinformatics (Oxford, England)|July 25, 2007
An ensemble framework for clustering protein-protein interaction networksSitaram Asur, Duygu Ucar, Srinivasan Parthasarathy
Algorithms for Molecular Biology : AMB|April 5, 2007
A spatio-temporal mining approach towards summarizing and analyzing protein folding trajectoriesHui Yang, Srinivasan Parthasarathy, Duygu Ucar
Bioinformatics (Oxford, England)|May 11, 2010
Discover regulatory DNA elements using chromatin signatures and artificial neural networkHiram A Firpi, Duygu Ucar, Kai Tan
Developmental Biology|September 11, 2014
Developmental enhancers are marked independently of zygotic Nodal signals in XenopusRakhi Gupta, Andrea Wills, Duygu Ucar, et al.
Bioinformatics (Oxford, England)|March 3, 2020
V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq dataNathan Lawlor, Eladio J Marquez, Donghyung Lee, et al.
Pageof 8

Showing results (1-10 of 72) with videos related to

Sort By:
Pageof 8
The Public Policy and Aging Report|December 29, 2023
Sex Differences in Immune System Aging and Responsiveness to VaccinationSteven Yanicke, Duygu Ucar
Peerj|November 29, 2017
I-ATAC: interactive pipeline for the management and pre-processing of ATAC-seq samplesZeeshan Ahmed, Duygu Ucar
Epigenomics|May 6, 2015
Cell-specific gene promoters are marked by broader spans of H3K4me3 and are associated with robust gene expression patternsDuygu Ucar, Dashzeveg Bayarsaihan
Molecular and Clinical Oncology|January 26, 2016
Amplification of the bromodomain-containing protein 4 gene in ovarian high-grade serous carcinoma is associated with worse prognosis and survivalDuygu Ucar, Douglas I Lin
Nucleic Acids Research|January 27, 2011
Combinatorial chromatin modification patterns in the human genome revealed by subspace clusteringDuygu Ucar, Qingyang Hu, Kai Tan
Bioinformatics (Oxford, England)|July 25, 2007
An ensemble framework for clustering protein-protein interaction networksSitaram Asur, Duygu Ucar, Srinivasan Parthasarathy
Algorithms for Molecular Biology : AMB|April 5, 2007
A spatio-temporal mining approach towards summarizing and analyzing protein folding trajectoriesHui Yang, Srinivasan Parthasarathy, Duygu Ucar
Bioinformatics (Oxford, England)|May 11, 2010
Discover regulatory DNA elements using chromatin signatures and artificial neural networkHiram A Firpi, Duygu Ucar, Kai Tan
Developmental Biology|September 11, 2014
Developmental enhancers are marked independently of zygotic Nodal signals in XenopusRakhi Gupta, Andrea Wills, Duygu Ucar, et al.
Bioinformatics (Oxford, England)|March 3, 2020
V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq dataNathan Lawlor, Eladio J Marquez, Donghyung Lee, et al.
Pageof 8