Results 81 to 90 of about 604,881 (306)
Shape-based peak identification for ChIP-Seq [PDF]
BMC Bioinformatics, 2011 We present a new algorithm for the identification of bound regions from ChIP-seq experiments. Our method for identifying statistically significant peaks from read coverage is inspired by the notion of persistence in topological data analysis and provides a non-parametric approach that is robust to noise in experiments.
Valerie Hower +2 more
openaire +6 more sources
FEBS Open Bio, EarlyView.Using peripheral blood for determining B‐cell or T‐cell clonality is more reliable when we use cell‐free RNA (cfRNA) because cells release blood significantly more RNA than DNA. Next‐generation sequencing (NGS) of cfRNA allows us to evaluate fragment cfRNA and evaluate clonality reliably without the need for prior determination of the specific dominant
Adam Albitar +11 more
wiley +1 more source
Wellington : a novel method for the accurate identification of digital genomic footprints from DNase-seq data [PDF]
, 2013 The expression of eukaryotic genes is regulated by cis-regulatory elements such as promoters and enhancers, which bind sequence-specific DNA-binding proteins.
Bonifer, Constanze +8 more
core +1 more source
7C: Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs
BMC Genomics, 2019 Background Knowledge of the three-dimensional structure of the genome is necessary to understand how gene expression is regulated. Recent experimental techniques such as Hi-C or ChIA-PET measure long-range chromatin interactions genome-wide but are ...
Jonas Ibn-Salem +1 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou +6 more
wiley +1 more source
vanrooij-lab/chip-seq-pipeline2: chip-seq-pipeline2
<p>chip-seq-pipeline2</p ...
Jin wook Lee, Soo Lee, J. Seth Strattan
core +1 more source
ChIP-Seq of ZmSNAC1, ZmNAC23 and ZmNAC20
, 2019 To explore the function of ZmSNAC1, ZmNAC23 and ZmNAC20 in salt stress resistance and plant development, the downstream target genes were explored by ChIP-Seq with ZmNACs-GFP transgenic maize plants (pooled leaves and roots at V1 stage)
can liu (4453648)
core +1 more source
DataSheet1_CSSQ: a ChIP-seq signal quantifier pipeline.pdf
, 2023 Chromatin immunoprecipitation followed by sequencing (ChIP-seq) has revolutionized the studies of epigenomes and the massive increase in ChIP-seq datasets calls for robust and user-friendly computational tools for quantitative ChIP-seq. Quantitative ChIP-
Yajun Mei (12446586) +3 more
core +1 more source
In silico pooling of ChIP-seq control experiments.
PLoS ONE, 2014 As next generation sequencing technologies are becoming more economical, large-scale ChIP-seq studies are enabling the investigation of the roles of transcription factor binding and epigenome on phenotypic variation.
Guannan Sun +5 more
doaj +1 more source
ChIP-chip versus ChIP-seq: Lessons for experimental design and data analysis
BMC Genomics, 2011 Background Chromatin immunoprecipitation (ChIP) followed by microarray hybridization (ChIP-chip) or high-throughput sequencing (ChIP-seq) allows genome-wide discovery of protein-DNA interactions such as transcription factor bindings and histone ...
Karchenko Peter V +5 more
doaj +1 more source