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1. How do UPGMA and NJ similar? 2. How does the BLAST algorithm work? What is...

1. How do UPGMA and NJ similar?

2. How does the BLAST algorithm work? What is a ‘word’? How are words derived from the input (query) sequence? Once words are identified from the input, what is searched? How does BLAST extend a match?

3. How do BLOSUM and PAM compare? What’s similar between the two? What’s different? How do sequence search algorithms (e.g., BLAST) and transition matrices (e.g., BLOSUM and PAM) relate?

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Answer #1

1) UPGMA is expanded as Unweighted paired group method with arithmetic mean while NJ can be expanded as Neighbor Joining. Both these methods are used to construct phylogenetic trees.

These both methods are based on the distance between taxa for constructing the phylogenetic trees,

UPGMA will look for the least distant taxa and group it together while NJ will look for the distant of pair taxa from the node and also outside the node, then the algorithm will make the tree.

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