Results 31 to 40 of about 673,559 (305)
Results of ChIP-Seq and DNase-Seq
, 2023 Results of ChIP-Seq and DNase-Seq for Cavendish banana ...
Xiuxiu Li (13880603)
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Low-Cell-Number Epigenome Profiling Aids the Study of Lens Aging and Hematopoiesis
Cell Reports, 2015 Understanding how chromatin modification regulates development and disease can be limited by available material. Despite recent progress, balancing high-quality and reliable mapping using chromatin-immunoprecipitation-based deep sequencing (ChIP-seq ...
Xiaobin Zheng +5 more
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CMT: a constrained multi-level thresholding approach for ChIP-Seq data analysis. [PDF]
PLoS ONE, 2014 Genome-wide profiling of DNA-binding proteins using ChIP-Seq has emerged as an alternative to ChIP-chip methods. ChIP-Seq technology offers many advantages over ChIP-chip arrays, including but not limited to less noise, higher resolution, and more ...
Iman Rezaeian, Luis Rueda
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Prediction accuracy of regulatory elements from sequence varies by functional sequencing technique
Frontiers in Cellular and Infection Microbiology, 2023 IntroductionVarious sequencing based approaches are used to identify and characterize the activities of cis-regulatory elements in a genome-wide fashion.
Ronald J. Nowling +3 more
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Genomic location analysis by ChIP‐Seq [PDF]
Journal of Cellular Biochemistry, 2009 AbstractThe interaction of a multitude of transcription factors and other chromatin proteins with the genome can influence gene expression and subsequently cell differentiation and function. Thus systematic identification of binding targets of transcription factors is key to unraveling gene regulation networks.
Artem, Barski, Keji, Zhao
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PICS: Probabilistic Inference for ChIP-seq [PDF]
Biometrics, 2010 ChIP-seq, which combines chromatin immunoprecipitation with massively parallel short-read sequencing, can profile in vivo genome-wide transcription factor-DNA association with higher sensitivity, specificity and spatial resolution than ChIP-chip. While it presents new opportunities for research, ChIP-seq poses new challenges for statistical analysis ...
Zhang, Xuekui +6 more
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ChIP-Seq analysis of the recruitment of Nurr1 and histone modifiers to the HIV provirus.
, 2022 Histograms show numbers of sequence reads on the Y axis along the length of the reporter HIV-1 pro-viral genome on the X axis. A, Aligned reporter genome. B, Nurr1 (Santa Cruz Biotech, Cat #sc-81345). C, CoREST (Cell Signaling, Cat #14567.
David Alvarez-Carbonell (3721597) +7 more
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CSA: a web service for the complete process of ChIP-Seq analysis
BMC Bioinformatics, 2019 Background Chromatin immunoprecipitation sequencing (ChIP-seq) is a technology that combines chromatin immunoprecipitation (ChIP) with next generation of sequencing technology (NGS) to analyze protein interactions with DNA.
Min Li +4 more
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Imputation for transcription factor binding predictions based on deep learning. [PDF]
PLoS Computational Biology, 2017 Understanding the cell-specific binding patterns of transcription factors (TFs) is fundamental to studying gene regulatory networks in biological systems, for which ChIP-seq not only provides valuable data but is also considered as the gold standard ...
Qian Qin, Jianxing Feng
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Computational methodology for ChIP‐seq analysis [PDF]
Quantitative Biology, 2013 Chromatin immunoprecipitation coupled with massive parallel sequencing (ChIP‐seq) is a powerful technology to identify the genome‐wide locations of DNA binding proteins such as transcription factors or modified histones. As more and more experimental laboratories are adopting ChIP‐seq to unravel the transcriptional and epigenetic regulatory mechanisms,
Hyunjin Shin +4 more
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