Globally align two similar strings:

Global alignment of two instances of BioSequence:

This gives the global alignment of two similar strings:

This shows the difference between global and local string alignment:

Obtain reference BRCA1 gene sequences for a human and a chimpanzee:

Check that their lengths are similar:

Align them using the default ("Global") method, using ByteCount to check the size of the result:

The "Local" method is slower, though it gives a more concise result:

Align using the longest sequence common to the pair:

Method "AlignByLongestSubsequences" is the fastest in this case and gives the smallest result:

Matching segments are close in total length, with the alignment using the longest common sequence having the largest matching part:

Obtain two Scandinavian language versions of the UN Universal Declaration of Human Rights:

Align using both the default and longest common subsequences methods and compare by byte count:

The global method has around 60% of the characters in the matching sections:

The faster heuristic method also manages to get nearly 57% of the characters in the matching parts:

When aligning nested lists, a list at level one can be a common element of the input lists:

Or a list at level one may denote a difference between the two input lists:

As the two outputs are identical, the output cannot be used to disambiguate the two cases:

Compare two very similar genes:

Use Diff to see the difference graphically: