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picture1_Pairwise Sequence Alignment Slideshare 66844 | Introduction Biostatistics Bioinformatics Lecture 12


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File: Pairwise Sequence Alignment Slideshare 66844 | Introduction Biostatistics Bioinformatics Lecture 12
multiple alignment stuart m brown nyu school of medicine learning objectives understand the need for multiple alignment methods in biology optimal methods dynamic programming are not practical to align many ...

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              Multiple 
            Alignment
                Stuart M. Brown
                NYU School of Medicine
             Learning Objectives
       Understand the need for multiple alignment 
         methods in biology
       Optimal methods (dynamic programming) are 
         not practical to align many sequences
       Progressive pairwise approach
       Profile alignments
       Editing alignments
       Sequence Logos
              Reasons for aligning 
                 sets of sequences
       Organize data to reflect sequence homology
       Estimate evolutionary distance
       Infer phylogenetic trees from homologous sites
       Highlight conserved sites/regions (motifs)
       Highlight variable sites/regions
       Uncover changes in gene structure
       Look for evidence of selection
       Summarize information
                    Pairwise Alignment
           The alignment of two sequences (DNA or 
            protein) is a relatively straightforward 
            computational problem. 
           The best solution seems to be an approach 
            called Dynamic Programming. 
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...Multiple alignment stuart m brown nyu school of medicine learning objectives understand the need for methods in biology optimal dynamic programming are not practical to align many sequences progressive pairwise approach profile alignments editing sequence logos reasons aligning sets organize data reflect homology estimate evolutionary distance infer phylogenetic trees from homologous sites highlight conserved regions motifs variable uncover changes gene structure look evidence selection summarize information two dna or protein is a relatively straightforward computational problem best solution seems be an called...

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