Life of Shāh Walī Allāh
Shāh Walī Allāh has written an article titled “al- Juz’ al- Laṭīf fī tarjamat al- ‘Abd al-Ẓa‘īf” in his book “Anfās al ‘Ārifīn” in which he has described his life history. Following are the events of his life as narrated by him:
“I was born on Wednesday 4thShawwāl, 1114 A. H at sunrise… Parents and other saints had received the intuitions about me even before and after my birth. I was sent to Maktab at the age of five and when I was about seven my father made me offer prayers and commanded me to observe fast. In the same year, circumcision was done and after having finished the Qur’ān I took up studying books in Arabic and Persian. At the age of ten, I was going through “Sharaḥ Mullā” and during that time the field of studies opened up for me. I was married at fourteen as my father had desired an early wedding…. I gave my hand to my father’s hand at the age of fifteen and got busy taking up Ashghāl-e-Ṣufīah, especially the Mashā’ikh-e-Naqshband. I set up my spiritual discourse after having sought their attention and motivation to acquire the grooming about norms of religious practices and spiritual uplift through Sufiism. In the same year, I studied a part of Beḍāvī Sharīf and then my father arranged a general feast where he accorded me permission to deliver dars. In short, I learned all the disciplines of that area (‘Ulūm-e-Mutadāwalah) at the age of fifteen and went through all the books linked with these fields in chronological order. In the field of Ḥadīth, leaving aside its part from Kitāb al-bay‘ upto Kitāb al-ādāb, I went through the remaining complete Mishkāt, Ṣaḥīḥ Bukhārī upto Kitāb al-ṭahārah...
ABSTRACT The book of Genesis has comprehensive details about Prophets like Noah, Abraham, Jacob and Joseph. A greater portion of Genesis deals with Jacob and his sons like Joseph(A. S) . It narrates and explicates how Almighty Allah-the supreme creator - is different from his creations including the Mighty Prophets. Hereby a selection of appropriate textual references is streamlined from Genesis in an effort to show that Almighty Allah transcends all-being a Mighty Creator- and how it negates the concept of trinity in itself
Histone proteins wrap DNA around in small globular entities commonly known as nucleosomes. The post translational modifications to the histone tails are referred as histone modifications (HMs). The regulation of DNA in order to access the transcription machinery is epigenetically programmed by specific DNA and chromatin covalent modifications. HMs could either be present or absent at particular genomic loci and the combinatorial patterns of the specific modifications being addressed as ‘histone codes’, are believed to co-regulate significant biological processes. Regions defined by combinatorial patterns of marks can be referred to as chromatin states. Chromatin states associated with genomic locations correlate with specific functional elements as enhancers, transcription start sites, which can be exclusively inferred from successive combinations of chromatin marks in their contiguous locations. Biologically significant combinatorics of epigenetic modifications and their subsequent functional interplay are still mostly unrevealed. We aimed to use ChIP-Seq data of Histone modifications at different genomic loci to highlight the unbiased genomic grouping and to decode the complex biological network of HMs in association with other chromatin players in defining various chromatin states. We used different tools and techniques to accomplish our task. Complex biological networks underlying the hidden chromatin states were revealed via merging machine learning and graph theory existing approaches. Histone modification efficient and simple combinatorics was studied at a global and local scale by developing and implementing a clustering and biclustering tool. Results have been compared with the existing approaches. Meanwhile a simple and efficient computational methodology for efficient chromatin states identification for ChromHMM (HMM based chromatin segmentation) has also been developed by utilizing Hidden Markov Models components. As a result of above study we revealed the role of various factors in maintaining the chromatin state connectivity via focusing chromatin state networks. Our studies highlighted the minimum dominating nodes set and various hubs in chromatin state networks focusing their interaction patterns. Along with we developed and tested a clustering tool ChromClust and a biclustering tool ChromBiSim to highlight histone combinatorics in binarized signal data in an efficient and interactive way. ChromClust operates at global level while ChromBiSim mines local patterns of histone modifications associations. We conclude that epigenomic landscape is portrayed as interplay of various factors including histone combinations, transcription factors, chromatin modifiers and most importantly the underlying DNA motifs. Each chromatin state has a specific set of these factors which interact with each other to mark that state hence creating the whole chromatin states network.