[理學(xué)]多序列比對(duì)-文庫(kù)吧資料
2025-01-27 20:41本頁(yè)面
【正文】 ary structure information to modify the profile scores. ? Perhaps the most sophisticated and accurate alignment program available. ? Extremely slow putation. 基 礎(chǔ) 生 物 信 息 學(xué) 及 應(yīng) 用 基 礎(chǔ) 生 物 信 息 學(xué) 及 應(yīng) 用 基 礎(chǔ) 生 物 信 息 學(xué) 及 應(yīng) 用 基 礎(chǔ) 生 物 信 息 學(xué) 及 應(yīng) 用 Progressive Alignment Method ? DbClustal: ? Poa (Partial order alignments): 基 礎(chǔ) 生 物 信 息 學(xué) 及 應(yīng) 用 Iterative Alignment ? PRRN： ? webbased program ? Uses a double nested iterative strategy for multiple alignment. ? Based on the idea that an optimal solution can be found by repeatedly modifying existing suboptimal solutions 基 礎(chǔ) 生 物 信 息 學(xué) 及 應(yīng) 用 This process is repeated over many cycles until there is no further improvement in the overall alignment scores . 1 、 an initial random alignment is generated that is used to derive a UPGMA tree Weights are subsequently applied to optimize the alignment. the sequences are randomly divided into two groups The two groups, each treated as a single sequence, are then aligned to each other using global dynamic programming. The process is repeated through many cycles until the total SP score no longer increases. At this point, the resulting alignment is used to construct a new UPGMA tree. New weights are applied to optimize alignment scores. 基 礎(chǔ) 生 物 信 息 學(xué) 及 應(yīng) 用 BlockBased Alignment ? The progressive and iterative alignment strategies are largely global alignment based and may therefore fail to recognize conserved domains and motifs among highly divergent sequences of varying lengths. For
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