Hamlet\u27s objective of killing Claudius fuels dramatic action

Hamlet\u27s Objective of Killing Claudius Fuels Dramatic Action proves that Hamlet\u27s overall objective fuels the dramatic action of the play. The overall objective of Hamlet, for the purposes of this thesis, is to avenge his father\u27s murder. The thesis also examines the structural elements of Hamlet, such as the delay aspects of Hamlet\u27s behavior, and determines how these elements affect the audience. The paper investigates Shakespeare\u27s skillful strategy of scene construction, transition, and the use of juxtaposition and parallelism. The thesis shows how these elements contribute to the movement of dramatic action as Hamlet attempts to achieve his objective. Furthermore, a chapter of the thesis examines the structural content of Olivier\u27s film version of Hamlet. Finally, the paper analyzes Hamlet\u27s behavior toward Gertrude, Ophelia, the Ghost, and Horatio

Inference of Markovian Properties of Molecular Sequences from NGS Data and Applications to Comparative Genomics

Next Generation Sequencing (NGS) technologies generate large amounts of short read data for many different organisms. The fact that NGS reads are generally short makes it challenging to assemble the reads and reconstruct the original genome sequence. For clustering genomes using such NGS data, word-count based alignment-free sequence comparison is a promising approach, but for this approach, the underlying expected word counts are essential. A plausible model for this underlying distribution of word counts is given through modelling the DNA sequence as a Markov chain (MC). For single long sequences, efficient statistics are available to estimate the order of MCs and the transition probability matrix for the sequences. As NGS data do not provide a single long sequence, inference methods on Markovian properties of sequences based on single long sequences cannot be directly used for NGS short read data. Here we derive a normal approximation for such word counts. We also show that the traditional Chi-square statistic has an approximate gamma distribution, using the Lander-Waterman model for physical mapping. We propose several methods to estimate the order of the MC based on NGS reads and evaluate them using simulations. We illustrate the applications of our results by clustering genomic sequences of several vertebrate and tree species based on NGS reads using alignment-free sequence dissimilarity measures. We find that the estimated order of the MC has a considerable effect on the clustering results, and that the clustering results that use a MC of the estimated order give a plausible clustering of the species.Comment: accepted by RECOMB-SEQ 201

Identification of lignin genes and regulatory sequences involved in secondary cell wall formation in Acacia auriculiformis and Acacia mangium via de novo transcriptome sequencing

<p>Abstract</p> <p>Background</p> <p><it>Acacia auriculiformis </it>× <it>Acacia mangium </it>hybrids are commercially important trees for the timber and pulp industry in Southeast Asia. Increasing pulp yield while reducing pulping costs are major objectives of tree breeding programs. The general monolignol biosynthesis and secondary cell wall formation pathways are well-characterized but genes in these pathways are poorly characterized in <it>Acacia </it>hybrids. RNA-seq on short-read platforms is a rapid approach for obtaining comprehensive transcriptomic data and to discover informative sequence variants.</p> <p>Results</p> <p>We sequenced transcriptomes of <it>A. auriculiformis </it>and <it>A. mangium </it>from non-normalized cDNA libraries synthesized from pooled young stem and inner bark tissues using paired-end libraries and a single lane of an Illumina GAII machine. <it>De novo </it>assembly produced a total of 42,217 and 35,759 contigs with an average length of 496 bp and 498 bp for <it>A. auriculiformis </it>and <it>A. mangium </it>respectively. The assemblies of <it>A. auriculiformis </it>and <it>A. mangium </it>had a total length of 21,022,649 bp and 17,838,260 bp, respectively, with the largest contig 15,262 bp long. We detected all ten monolignol biosynthetic genes using Blastx and further analysis revealed 18 lignin isoforms for each species. We also identified five contigs homologous to R2R3-MYB proteins in other plant species that are involved in transcriptional regulation of secondary cell wall formation and lignin deposition. We searched the contigs against public microRNA database and predicted the stem-loop structures of six highly conserved microRNA families (miR319, miR396, miR160, miR172, miR162 and miR168) and one legume-specific family (miR2086). Three microRNA target genes were predicted to be involved in wood formation and flavonoid biosynthesis. By using the assemblies as a reference, we discovered 16,648 and 9,335 high quality putative Single Nucleotide Polymorphisms (SNPs) in the transcriptomes of <it>A. auriculiformis </it>and <it>A. mangium</it>, respectively, thus yielding useful markers for population genetics studies and marker-assisted selection.</p> <p>Conclusion</p> <p>We have produced the first comprehensive transcriptome-wide analysis in <it>A. auriculiformis </it>and <it>A. mangium </it>using <it>de novo </it>assembly techniques. Our high quality and comprehensive assemblies allowed the identification of many genes in the lignin biosynthesis and secondary cell wall formation in <it>Acacia </it>hybrids. Our results demonstrated that Next Generation Sequencing is a cost-effective method for gene discovery, identification of regulatory sequences, and informative markers in a non-model plant.</p