Multiple Sequence Alignment
ClustalW
Global multiple alignment
Each pair of sequences is compared over their
entire length with gaps introduced to obtain the
optimal alignment (using one set of parameters)
Sequences are grouped into clusters on the basis
of  similarity
The two most similar sequences are aligned, and
additional sequences are added to this alignment
one at time (using different parameters based on
extent of similarity)