Searching journal content for articles similar to Hansen et al. 25 (9): 1391.

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  1. ...guidelines used by ENCODE and modENCODE Genome Research 1817 www..org Replication, sequencing depth, library complexity, and site discovery Biological replicate experiments from independent cell cultures, embryo pools, or tissue samples are used to assess reproducibility. Initial RNA polymerase II ChIP-seq...
  2. ...polymerase initiation sites (Core et al. 2014). Regions identified by dREG were on average 6.4-fold shorter (460 bp for dREG sites) than H3K27ac ChIP-seq peaks (2924 bp on average), closer in size to high-resolution DNase-seq data (322 bp on average) (Fig. 2A). dREG frequently separated out individual TIRs...
  3. ...’’ each strain. Finally, Calling Card–seq is cost-effective: Calling Cards deposited by 10 to 20 yeast TFs can be identified on a single lane of an Illumina GAII flowcell. Multiplexing of the Calling Card–seq method is simpler and more economical than a multiplexed ChIP-seq experiment, because all TF...
  4. ...specific to one TF. (C) De novo motifs discovered in top-1000 ChIP-seq peaks (top) and central enrichment of these motifs in full consensus peak sets of Twi at 2–4 h, CTCF at 6–8 h, Mef2 at 6–8 h, Mef2 at 10–12 h, Bin at 6–8 h, and Bin at 10–12 h. (D) Overlaps among consensus peak sets for all TFs. (E...
  5. ...,919 peaks per sample in ATAC-seq mode (range: 15,420–238,210 peaks) and 51,838 peaks per sample in ChIP-seq mode (range: 14,594–201,757 peaks) (Supplemental Fig. S3; Supplemental Table S4). We merged ATAC-seq-mode and ChIP-seq-mode peaks separately across 104 samples following the method of Meuleman et al...
  6. ...epigenetic markersPreviously published (Shi et al. 2021a) ChIP-seq data for the H3K4me1 and H3K4me3 epigenetic marker were obtained from the NCBI Gene Expression Omnibus (GEO; https://www.ncbi.nlm.nih.gov/geo/) (Barrett et al. 2013) under accession numbers GSM5379664 and GSM5379671, respectively. For each...
  7. ..., but more careful evaluations are required. Ultimately, a sequence-based understanding of tag effects on reporter expression will help us to better interpret MPRA studies.Of note, the SVR with gkm-kernel is a generalizable approach and can be applied to other problems, such as quantitative prediction of ChIP-seq...
  8. ...with an alternative approach, implemented in the software package CHiCAGO (Cairns Figure 1. Experimental setup and calling of interaction peaks. (A) Seven tissues were selected to perform CC, RNA-seq, and ChIP-seq from: fore- (FL) and hindlimb (HL) at E10.5, E11.5, and E13.5, as well as midbrain (MB) at E10.5. (B...
  9. ...candidate sequences were chosen on the basis of having ENCODE HepG2 ChIP-seq peaks for EP300 and H3K27ac marks. The candidates overlapped with or without ChIP-seq peaks for FOXA1, FOXA2, or HNF4A. Half the candidates overlapped with ChIP-seq peaks for RAD21, SMC3, and CHD2. In addition, the library included...
  10. ...of the cases. For example, transcriptional initiation of SNAPC4 is far (1k–2k bp) upstream of the RefSeq and GENCODE gene model 59 ends (Fig. 3B). CAGE finds a peak upstream, which is supported by ChIP-seq for H3K27 acetylation performed by the ENCODE Project (Ram et al. 2011). Such inaccuracies of gene models...
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