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

Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets-4

<p><b>Copyright information:</b></p><p>Taken from "Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets"</p><p>http://www.biomedcentral.com/1471-2164/8/200</p><p>BMC Genomics 2007;8():200-200.</p><p>Published online 28 Jun 2007</p><p>PMCID:PMC1929078.</p><p></p>ed to the displayed categories based on the orientation of the probe set sequence ("sense", "antisense", "overlap") found. Also depicted is the frequency of cross-hybridizing probe sets and those without match to an annotated transcript

Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets-3

<p><b>Copyright information:</b></p><p>Taken from "Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets"</p><p>http://www.biomedcentral.com/1471-2164/8/200</p><p>BMC Genomics 2007;8():200-200.</p><p>Published online 28 Jun 2007</p><p>PMCID:PMC1929078.</p><p></p>found probe set pairs with probe sets in sense and antisense orientation, respectively. B) Exemplary scatterplots of the expression values for two SAS probe set pairs. Left: no correlation between probesets 1437874_s_at and 1426591_at; right: positive correlation for the sense (1418840_at) and antisense (1456393_at) probe set pair shown in A). Data represents vsn-normalized and scaled expression values (unit:natural logarithm) from 1637 mouse MOE420 2.0 microarrays downloaded from the Gene Expression Omnibus database. Correlation was calculated using Pearson Correlation. C) Distribution of Pearson correlation coefficients using the data matrix described in B) for 179 SAS probe set pairs (gray bars) and 150 randomly picked control probeset pairs (hatched bars). same as left, but with Pearson Correlation performed for each individual dataset

Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets-1

<p><b>Copyright information:</b></p><p>Taken from "Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets"</p><p>http://www.biomedcentral.com/1471-2164/8/200</p><p>BMC Genomics 2007;8():200-200.</p><p>Published online 28 Jun 2007</p><p>PMCID:PMC1929078.</p><p></p>transcripts of the category "overlap"; right panel: transcripts of the category "antisense". B) RT-PCR products of transcripts of the category "overlap" with indicated product sizes. C) RT-PCR products of transcripts of the category "antisense". D) Strand-specific RT-PCR for three transcripts with no prior evidence of SAS pairing. : RT reaction with 3' reverse primer; : RT reaction with 5' forward primer; no primer during RT reaction; no template control

Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets-0

<p><b>Copyright information:</b></p><p>Taken from "Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets"</p><p>http://www.biomedcentral.com/1471-2164/8/200</p><p>BMC Genomics 2007;8():200-200.</p><p>Published online 28 Jun 2007</p><p>PMCID:PMC1929078.</p><p></p>ed to the displayed categories based on the orientation of the probe set sequence ("sense", "antisense", "overlap") found. Also depicted is the frequency of cross-hybridizing probe sets and those without match to an annotated transcript

Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets-2

<p><b>Copyright information:</b></p><p>Taken from "Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets"</p><p>http://www.biomedcentral.com/1471-2164/8/200</p><p>BMC Genomics 2007;8():200-200.</p><p>Published online 28 Jun 2007</p><p>PMCID:PMC1929078.</p><p></p>sent sense transcripts, grey bars the corresponding antisense transcripts. SYBR qPCR for β-actin was used for normalization to control for variations in RNA input. The unit is C(HO)-(C(transcript)-C(β-actin)). Data shown are mean values of duplicate determinations

Additional file 2: of Mitochondrial heteroplasmy in vertebrates using ChIP-sequencing data

Supplementary tables S1–S4. Table S1. Detected heteroplasmies of excluded individuals. Table S2. Detected heteroplasmies. Table S3. Sanger sequencing and pyrosequencing validation results. Table S4. Additional details for each file. Table S5. Raw pyrosequencing data. (XLS 352 kb

Additional file 3: of Mitochondrial heteroplasmy in vertebrates using ChIP-sequencing data

Heteroplasmy detection algorithm and analysis in Python. (ZIP 115 kb

Additional file 1: of Mitochondrial heteroplasmy in vertebrates using ChIP-sequencing data

Supplementary figures S1–S3. Figure S1. Detailed coverage data for all individuals. Figure S2. Read coverage of heteroplasmic positions. Figure S3. Coverage data of different ChIP-seq data files. (PDF 20125 kb

Additional file 1: of Genome variation and conserved regulation identify genomic regions responsible for strain specific phenotypes in rat

Supplementary figures and tables. (DOCX 724 kb