V
Vipin Narang
Researcher at National University of Singapore
Publications - 13
Citations - 3311
Vipin Narang is an academic researcher from National University of Singapore. The author has contributed to research in topics: DNA binding site & Promoter. The author has an hindex of 6, co-authored 11 publications receiving 3145 citations. Previous affiliations of Vipin Narang include Genome Institute of Singapore.
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Journal ArticleDOI
Integration of External Signaling Pathways with the Core Transcriptional Network in Embryonic Stem Cells
Xi Chen,Han Xu,Ping Yuan,Fang Fang,Fang Fang,Mikael Huss,Vinsensius B. Vega,Eleanor Wong,Yuriy L. Orlov,Weiwei Zhang,Weiwei Zhang,Jianming Jiang,Jianming Jiang,Yuin-Han Loh,Yuin-Han Loh,Hock Chuan Yeo,Zhen Xuan Yeo,Vipin Narang,Kunde R Govindarajan,Bernard Leong,Atif Shahab,Yijun Ruan,Guillaume Bourque,Wing-Kin Sung,Neil D. Clarke,Chia-Lin Wei,Huck-Hui Ng,Huck-Hui Ng +27 more
TL;DR: This study uses chromatin immunoprecipitation coupled with ultra-high-throughput DNA sequencing to map the locations of TF-binding sites and identifies important features of the transcriptional regulatory networks that define ES-cell identity.
Journal ArticleDOI
Jmjd3 contributes to the control of gene expression in LPS‐activated macrophages
Francesca De Santa,Vipin Narang,Zhei Hwee Yap,Betsabeh Khoramian Tusi,Thomas Burgold,Liv Austenaa,Gabriele Bucci,Marieta Caganova,Samuele Notarbartolo,Stefano Casola,Giuseppe Testa,Wing-Kin Sung,Chia-Lin Wei,Gioacchino Natoli +13 more
TL;DR: Using chromatin immunoprecipitation‐sequencing, data show that Jmjd3 fine‐tunes the transcriptional output of LPS‐activated macrophages in an H3K27 demethylation‐independent manner.
Jmjd3 contributes to the control of gene expression in LPS-activated macrophages This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits distribution,andreproductioninanymedium,providedtheoriginalauthorandsourcearecredited.Thislicensedoesnot permit commercial exploitation without specific permission.
Francesca De Santa,Vipin Narang,Zhei Hwee Yap,Thomas Burgold,Liv Austenaa,Gabriele Bucci,Marieta Caganova,Samuele Notarbartolo,Stefano Casola,Giuseppe Testa,Wing-Kin Sung,Chia-Lin Wei,Gioacchino Natoli +12 more
Computational modeling of oligonucleotide positional densities for human promoter
TL;DR: A novel statistical technique for detecting promoter regions in long genomic sequences and a continuous naïve Bayes classifier is developed for the detection of human promoters and transcription start sites in genomic sequences.
Journal ArticleDOI
Computational modeling of oligonucleotide positional densities for human promoter prediction
TL;DR: In this paper, a continuous naive Bayes classifier is developed for the detection of human promoters and transcription start sites in genomic sequences, which can automatically recognize a number of transcription factor binding sites simultaneously with their occurrence positions relative to the transcription start site.