Pengaruh perbedaan pendapat ulama terhadap tasyri’

Ikhtilaf ulama’ atau perbedaan pendapat para ulama tak luput dari tasyri’ atau perkembangan hukum Islam. Karena hal itu yang menggambarkan hidupnya keanekaragaman interfensi teks-teks keagamaan dan juga menjadi pencapaian terhadap faktor-faktor sosial, politik, dan budaya. Penelitian ini menekankan pendapat para ulama, karena para ulama mempunyai pendapat yang tidak lain hanya mencari suatu kebenaran. Mencapai gelar ulama yang dapat berijtihad sangat tidak mudah karena, betapa beratnya beban dan tanggung jawab yang dipikul oleh para uama’. Setiap sesuatu pasti memiliki sebab akibat, begitu pula perbedaan pendapat para ulama atau ikhtilaf ulama’. yang dapat menjadi faktor pembeda antara lain adalah perbedaan qiraat, perbedaan akidah ulama, perbedaan istinbatul ahkam, dan sebagainya. Akibatnya pun beragam, ada positif dan negatif. Positifnya adalah pengambilan hukum menjadi lebih mudah diterima masyarakat setempat, karena setiap tempat memiliki sesuatu yang membedakan mereka dengan masyarakat lainnya. Serta akibat negatif yang muncul adalah taqlid buta bagi orang awam, yang dapat menyebabkan seseorang dapat mengkafirkan orang lain yang berbeda pendapat dengan mereka

SIGNIFICANCE OF ANTIOXIDANTS IN MAINTAINING DAIRY AND BEEF ANIMALS’ HEALTH

Oxidation and reduction reactions occurring inside the cell must be maintained in the state of equilibrium so that the integrity of cells can be maintained and production of the animals remains at optimum. If there is imbalance between redox reaction, health of the animals gets affected in terms of onset of various reproductive disorders and diseases like mastitis. A number of antioxidants are produced naturally inside the body but under stressful endogenous and exogenous environment, their production is hampered. Thus, supplementation of animals with antioxidants like vitamin C and Vitamin E in feed or parenteral administration is essential to keep the animal healthy to get maximum possible production

A community effort to create standards for evaluating tumor subclonal reconstruction

International audienc

Crowd-sourced benchmarking of single-sample tumor subclonal reconstruction.

Subclonal reconstruction algorithms use bulk DNA sequencing data to quantify parameters of tumor evolution, allowing an assessment of how cancers initiate, progress and respond to selective pressures. We launched the ICGC-TCGA (International Cancer Genome Consortium-The Cancer Genome Atlas) DREAM Somatic Mutation Calling Tumor Heterogeneity and Evolution Challenge to benchmark existing subclonal reconstruction algorithms. This 7-year community effort used cloud computing to benchmark 31 subclonal reconstruction algorithms on 51 simulated tumors. Algorithms were scored on seven independent tasks, leading to 12,061 total runs. Algorithm choice influenced performance substantially more than tumor features but purity-adjusted read depth, copy-number state and read mappability were associated with the performance of most algorithms on most tasks. No single algorithm was a top performer for all seven tasks and existing ensemble strategies were unable to outperform the best individual methods, highlighting a key research need. All containerized methods, evaluation code and datasets are available to support further assessment of the determinants of subclonal reconstruction accuracy and development of improved methods to understand tumor evolution.info:eu-repo/semantics/publishe

A community effort to create standards for evaluating tumor subclonal reconstruction

Tumor DNA sequencing data can be interpreted by computational methods that analyze genomic heterogeneity to infer evolutionary dynamics. A growing number of studies have used these approaches to link cancer evolution with clinical progression and response to therapy. Although the inference of tumor phylogenies is rapidly becoming standard practice in cancer genome analyses, standards for evaluating them are lacking. To address this need, we systematically assess methods for reconstructing tumor subclonality. First, we elucidate the main algorithmic problems in subclonal reconstruction and develop quantitative metrics for evaluating them. Then we simulate realistic tumor genomes that harbor all known clonal and subclonal mutation types and processes. Finally, we benchmark 580 tumor reconstructions, varying tumor read depth, tumor type and somatic variant detection. Our analysis provides a baseline for the establishment of gold-standard methods to analyze tumor heterogeneity

A community effort to create standards for evaluating tumor subclonal reconstruction.

Tumor DNA sequencing data can be interpreted by computational methods that analyze genomic heterogeneity to infer evolutionary dynamics. A growing number of studies have used these approaches to link cancer evolution with clinical progression and response to therapy. Although the inference of tumor phylogenies is rapidly becoming standard practice in cancer genome analyses, standards for evaluating them are lacking. To address this need, we systematically assess methods for reconstructing tumor subclonality. First, we elucidate the main algorithmic problems in subclonal reconstruction and develop quantitative metrics for evaluating them. Then we simulate realistic tumor genomes that harbor all known clonal and subclonal mutation types and processes. Finally, we benchmark 580 tumor reconstructions, varying tumor read depth, tumor type and somatic variant detection. Our analysis provides a baseline for the establishment of gold-standard methods to analyze tumor heterogeneity

A community effort to create standards for evaluating tumor subclonal reconstruction

Methods for reconstructing tumor evolution are benchmarked in the DREAM Somatic Mutation Calling Tumour Heterogeneity Challenge. Tumor DNA sequencing data can be interpreted by computational methods that analyze genomic heterogeneity to infer evolutionary dynamics. A growing number of studies have used these approaches to link cancer evolution with clinical progression and response to therapy. Although the inference of tumor phylogenies is rapidly becoming standard practice in cancer genome analyses, standards for evaluating them are lacking. To address this need, we systematically assess methods for reconstructing tumor subclonality. First, we elucidate the main algorithmic problems in subclonal reconstruction and develop quantitative metrics for evaluating them. Then we simulate realistic tumor genomes that harbor all known clonal and subclonal mutation types and processes. Finally, we benchmark 580 tumor reconstructions, varying tumor read depth, tumor type and somatic variant detection. Our analysis provides a baseline for the establishment of gold-standard methods to analyze tumor heterogeneity