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

Hongkai Ji

Showing results (21-30 of 170) with videos related to

Pageof 17
Sort By:
Current Genetics|February 19, 2018
Stress response factors drive regrowth of quiescent cellsZheng Kuang, Hongkai Ji, Jef D Boeke
Nucleic Acids Research|August 21, 2019
Global prediction of chromatin accessibility using small-cell-number and single-cell RNA-seqWeiqiang Zhou, Zhicheng Ji, Weixiang Fang, et al.
BMC Bioinformatics|January 28, 2006
An improved distance measure between the expression profiles linking co-expression and co-regulation in mouseRyung S Kim, Hongkai Ji, Wing H Wong
Bioinformatics (Oxford, England)|May 13, 2022
EDClust: an EM-MM hybrid method for cell clustering in multiple-subject single-cell RNA sequencingXin Wei, Ziyi Li, Hongkai Ji, et al.
Nucleic Acids Research|November 9, 2006
A comparative analysis of genome-wide chromatin immunoprecipitation data for mammalian transcription factorsHongkai Ji, Steven A Vokes, Wing H Wong
Genome Biology|July 5, 2020
Single-cell ATAC-seq signal extraction and enhancement with SCATEZhicheng Ji, Weiqiang Zhou, Wenpin Hou, et al.
Methods in Molecular Biology (Clifton, N.J.)|January 2, 2025
Reconstructing Progenitor State Hierarchy and Dynamics Using Lineage Barcoding DataWeixiang Fang, Yi Yang, Hongkai Ji, et al.
Elife|September 27, 2017
Msn2/4 regulate expression of glycolytic enzymes and control transition from quiescence to growthZheng Kuang, Sudarshan Pinglay, Hongkai Ji, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 10, 2013
Differential principal component analysis of ChIP-seqHongkai Ji, Xia Li, Qian-fei Wang, et al.
Nucleic Acids Research|January 12, 2018
Dynamic motif occupancy (DynaMO) analysis identifies transcription factors and their binding sites driving dynamic biological processesZheng Kuang, Zhicheng Ji, Jef D Boeke, et al.
Pageof 17

Showing results (21-30 of 170) with videos related to

Sort By:
Pageof 17
Current Genetics|February 19, 2018
Stress response factors drive regrowth of quiescent cellsZheng Kuang, Hongkai Ji, Jef D Boeke
Nucleic Acids Research|August 21, 2019
Global prediction of chromatin accessibility using small-cell-number and single-cell RNA-seqWeiqiang Zhou, Zhicheng Ji, Weixiang Fang, et al.
BMC Bioinformatics|January 28, 2006
An improved distance measure between the expression profiles linking co-expression and co-regulation in mouseRyung S Kim, Hongkai Ji, Wing H Wong
Bioinformatics (Oxford, England)|May 13, 2022
EDClust: an EM-MM hybrid method for cell clustering in multiple-subject single-cell RNA sequencingXin Wei, Ziyi Li, Hongkai Ji, et al.
Nucleic Acids Research|November 9, 2006
A comparative analysis of genome-wide chromatin immunoprecipitation data for mammalian transcription factorsHongkai Ji, Steven A Vokes, Wing H Wong
Genome Biology|July 5, 2020
Single-cell ATAC-seq signal extraction and enhancement with SCATEZhicheng Ji, Weiqiang Zhou, Wenpin Hou, et al.
Methods in Molecular Biology (Clifton, N.J.)|January 2, 2025
Reconstructing Progenitor State Hierarchy and Dynamics Using Lineage Barcoding DataWeixiang Fang, Yi Yang, Hongkai Ji, et al.
Elife|September 27, 2017
Msn2/4 regulate expression of glycolytic enzymes and control transition from quiescence to growthZheng Kuang, Sudarshan Pinglay, Hongkai Ji, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 10, 2013
Differential principal component analysis of ChIP-seqHongkai Ji, Xia Li, Qian-fei Wang, et al.
Nucleic Acids Research|January 12, 2018
Dynamic motif occupancy (DynaMO) analysis identifies transcription factors and their binding sites driving dynamic biological processesZheng Kuang, Zhicheng Ji, Jef D Boeke, et al.
Pageof 17