PPT-Dynamic Programming II Gene Prediction: Similarity-Based Approaches

The idea of similaritybased approach to gene prediction Exon Chaining Problem Spliced Alignment Problem Gene Prediction Computational problem of predicting the locations of genes in a genome given only the genomic DNA sequence gene is broken into pieces called as exons that are separated by junk NDAintrons. Static Branch Prediction. Code around delayed branch. To reorder code around branches, need to predict branch statically when compile . Simplest scheme is to predict a branch as taken. Average misprediction = untaken branch frequency = 34% SPEC. Saehoon Kim. §. , . Yuxiong He. *. ,. . Seung-won Hwang. §. , . Sameh Elnikety. *. , . Seungjin Choi. §. §. *. Web Search Engine . Requirement. 2. Queries. High quality + Low latency. This talk focuses on how to achieve low latency without compromising the quality. Agenda. Collaborative Filtering (CF). Pure CF approaches. User-based nearest-neighbor. The Pearson Correlation similarity measure. Memory-based and model-based approaches. Item-based nearest-neighbor. Dynamic Programming. Dynamic programming is a useful mathematical technique for making a sequence of interrelated decisions. It provides a systematic procedure for determining the optimal combination of decisions.. ". Thus, I thought . dynamic programming . was a good name. It was something not even a Congressman could object to. So I used it as an umbrella for my . activities". - Richard E. Bellman. Origins. A method for solving complex problems by breaking them into smaller, easier, sub problems. ". Thus, I thought . dynamic programming . was a good name. It was something not even a Congressman could object to. So I used it as an umbrella for my . activities". - Richard E. Bellman. Origins. A method for solving complex problems by breaking them into smaller, easier, sub problems. 1. Lecture Content. Fibonacci Numbers Revisited. Dynamic Programming. Examples. Homework. 2. 3. Fibonacci Numbers Revisited. Calculating the n-. th. Fibonacci Number with recursion has proved to be . Dynamic Programming II Gene Prediction: Similarity-Based Approaches The idea of similarity-based approach to gene prediction Exon Chaining Problem Spliced Alignment Problem Gene Prediction Computational problem of predicting the locations of genes in a genome given only the genomic DNA sequence (gene is broken into pieces called as exons that are separated by junk NDA/introns). Saehoon Kim. §. , . Yuxiong He. *. ,. . Seung-won Hwang. §. , . Sameh Elnikety. *. , . Seungjin Choi. §. §. *. Web Search Engine . Requirement. 2. Queries. High quality + Low latency. This talk focuses on how to achieve low latency without compromising the quality. 386 Volume 7 I ssue 4 December 2016 ISSN: 2319 - 1058 Expressed Sequence Tags and Gene Prediction Neeta Maitre Department of Computer Science and Engineering G. H. Raisoni College of Engineering, Presentation for use with the textbook, . Algorithm Design and Applications. , by M. T. Goodrich and R. Tamassia, Wiley, 2015. Application: DNA Sequence Alignment. DNA sequences can be viewed as strings of . VINAY ABHISHEK MANCHIRAJU. SCOPE. Apply dynamic . programming to gene finding and other bioinformatics problems. .. Power of DNA Sequence Comparison. A revisit to the Change Problem. The Manhattan Tourist Problem. Li, Mark Drew. School of Computing Science, . Simon . Fraser University, . Vancouver. , B.C., Canada. {zza27, . li. , mark}@. cs.sfu.ca. Learning Image Similarities via Probabilistic Feature Matching. 2020. Monogenic and Complex Diseases. Gene therapy is a promising approach for both monogenic and complex diseases. 1. 1. Wang D, Gau G. . Discov Med . 2014;18:151–161; 2. Ginn SL, et al. . J Gene Med.