Manajemen Program Siaran Lokal Aceh TV Dalam Upaya Penyebarluasan Syariat Islam Dan Pelestarian Budaya Lokal

Managing broadcasting management is not easy. Managing the broadcasting business is a difficult and challenging. This research aims to analyze the activity of management and organizational performance ACEH TV television media in an effort to disseminate the Islamic Sharia and Preservation of Local Culture in Aceh. This research is descriptive qualitative. Informants of this research is managing director, program director, executive producer, cameraman / reporter, as well as additional informants Regional Chairman of the Indonesian Broadcasting Commission (KPID) Aceh, Aceh Province Department of Islamic Law, and local media observers. The location of this research is in Banda Aceh, Aceh province. Sampling was done purposively. Data collected through observation, interviews, and documentation. Data were analyzed by analysis of an interactive model of Miles and Huberman. The results showed that the ACEH TV as the medium of television that is broadcasting management ACEH have done according to a local television broadcasting standard. Agenda setting function of mass media performed in the ACEH TV dissemination of Islamic Shariah in Aceh and local culture to influence the people of Aceh to implement Islamic Sharia and also maintain the culture and local wisdom Aceh. It can be seen from all the programs that are aired ACEH TV is a program of local cultural nuances of Islamic law. There are still some shortcomings in running broadcasting broadcasting technology such as lack of equipment that is increasingly sophisticated. The results of image editing is very simple, and some programs presenter still looks stiff when in front of the camera

Additional file 2: of A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies

An R-script implementing EpiDISH with either robust partial correlations (RPC), CIBERSORT (CBS) or Constrained Projection (CP). (R 5 kb

Additional file 1: of A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies

Contains all Supplementary Figures and Supplementary Tables plus their captions: Figure S1. Clustering validation of reference blood database. Figure S2. Validation of EpiDISH. Figure S3. Improvement of inference using DHS data in 3 independent data sets. Figure S4. Comparison of reference-based methods. Figure S5. Comparative performance of reference-based methods in an EWAS of smoking. Table S1. The blood reference database. Table S2. Gold-standard list of 62 smoking-associated DMCs (sDMCs). Table S3. Smoking-associated DMCs with no adjustment for cell-type composition. Table S4. Smoking-associated DMCs as obtained using EpiDISH. (PDF 1241 kb

MOESM2 of Tissue-independent and tissue-specific patterns of DNA methylation alteration in cancer

Additional file 2. Pdf document containing all Supplementary Figures S1–11, as well as Supplementary Table S2

Additional file 1: of The multi-omic landscape of transcription factor inactivation in cancer

This document contains all Supplementary Tables and all Supplementary Figures, plus their associated legends/captions. (PDF 3658 kb

Genomic distribution of 5mC and 5hmC.

<p>6a: Distribution of 5hmC and 5mC levels at CpG islands, shores (0–2 kb) and shelves (2–4 kb). 5mC levels show a steep rise moving away from CpG sites, 5hmC levels are lowest at CpG sites but show less variation between shores and shelves. The width of the boxes is proportional to the number of underlying probes. 6b: Distribution of 5mC and 5hmC levels around the TSS. Levels of both types of methylation rise steeply moving away from TSS’s.</p

Effect of number of replicates on 5hmC detection.

<p>Top left: Number of probes detected as differentially methylated, i.e. as hydroxymethylated (having a positive 5hmC signal), with all four replicates and with only replicates 1 and 3. Top right: Using only replicates 2 and 4. The number of probes observed in two replicates but not in four fall within the expected 1% FDR. Bottom: Probes with 5hmC in pair 1 and 3 compared to pair 2 and 4. Only 38,246 probes were observed in both pairs.</p

Enrichment of TFBSs among age-DMRs.

<p><b>A)</b> Left top panel depicts the age of the individuals from which the blood samples were taken, sorted by increasing age. Heatmap depicts relative DNA methylation levels for the top 500 age-hypomethylated and top 500 age-hypermethylated DMRs (blue = relative high DNA methylation, yellow = relative low DNA methylation), with samples sorted by increasing age. Right panel depicts (with black lines) which DMRs overlap with transcription factor binding sites (TFBS) for a number of TFs which exhibited highly significant enrichment either for age-hypermethylated or age-hypomethylated DMRs (or both). Below the panels we give the odds ratios (OR) and Fisher-test P-values (P) of enrichment of the corresponding TFBSs among age-hypermethylated and age-hypomethylated regions of the top 5% of age-DMRs. <b>B)</b> Combinatorial enrichment analysis of TFBSs. TFs have been sorted according to the strength of association (P-value) of their binding profile with the association of a region’s DNA methylation with age, as assessed from a multivariate linear regression model. Color code for P-values: white (<i>P</i> > 0.01), pink (<i>P</i> < 0.01), red (<i>P</i> < 1<i>e</i> − 5), brown (<i>P</i> < 1<i>e</i> − 10). Below P-value bar we show the corresponding estimated t-statistic in the multivariate analysis (magenta = strongly significant (<i>P</i> < 0.001) positive values, cyan = strongly significant (<i>P</i> < 0.001) negative values).</p

Comparison between oxBS arrays and qPCR.

<p>Right: Correlation between 5hmC detected by qPCR vs array probes. Left: Discrepancy between qPCR and arrays quantified as percentage difference relative to qPCR (See also <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0118202#pone.0118202.s001" target="_blank">S1 Document</a>). Data points having the same coordinates appear in darker red.</p

Scatter plot of 5hmC vs 5mC.

<p>5hmC levels are highest at intermediate levels of 5mC (~40%).</p