Please Answer The Following Review Question For Chapter 21
Please Answer The Following Review Question For Chapter 21why Is The
Please answer the following review question for Chapter 2: 1. Why is the audience important in argument? What types of positions might an audience hold? What possible outcomes are associated with argument directed to each of these audiences? To complete this assignment, type your answer into the text box. Click the "Submit" box in the bottom right corner of the screen when you have finished. Your responses are worth 5 points, and they will be evaluated for accuracy, development, and writing ability (syntax/grammar). Answer the question within 2-3 sentences, and do not COPY-PASTE. Question Describe how the Needleman-Wunsch algorithm is applicable to it and the way to calculate the edit distance for a given pair of DNA sequences
Paper For Above instruction
The audience is crucial in argument because understanding their perspectives influences how the argument is tailored and which strategies are effective; audiences may hold supportive, neutral, or opposing views, leading to outcomes such as persuasion, reinforcement, or rejection of the argument. When addressing supportive audiences, the goal is to reinforce existing beliefs; for neutral audiences, education and clarification are key; and for opposing audiences, counter-arguments and evidence are necessary to change opinions or diminish resistance. Recognizing these positions allows a speaker to frame messages appropriately to achieve desired rhetorical outcomes.
The Needleman-Wunsch algorithm is highly applicable to sequence alignment in bioinformatics, specifically for calculating the optimal global alignment between two DNA sequences. It uses dynamic programming to systematically compare all possible alignments, assigning scores based on matches, mismatches, and gaps, and then identifies the highest scoring alignment. The algorithm's core involves constructing a scoring matrix where each cell represents the best alignment score up to that point, which effectively quantifies the minimum edit distance—i.e., the minimum number of insertions, deletions, and substitutions needed to transform one sequence into the other. Calculating this minimum edit distance helps researchers assess the genetic similarity between sequences, infer evolutionary relationships, and identify functional or structural regions within DNA.
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