sequence alignment

This sequence alignment method is often used in time series classification.

The problem of multiple sequence alignment is too big for computers to handle.

However, the biological relevance of sequence alignments is not always clear.

An image of the structurally similar region and sequence alignment is shown on the right.

Handel is a suite of programs for multiple sequence alignment.

The sites for all four organisms are highlighted on the following multiple sequence alignment.

More complete details and software packages can be found in the main article multiple sequence alignment.

To save space, not all of these orthologs are included in the above multiple sequence alignment.

Clustal is a widely used multiple sequence alignment computer program.

A variant of this sequence alignment is used in the sequencing process itself.

The similarity score is often based on sequence alignment.

Multiple sequence alignments can be used to create a phylogenetic tree.

However, a sequence alignment is a two dimensional abstraction of a protein.

Thus, sequence alignment is done over segments rather than over the entire protein.

It is used to discover patterns of evolutionary conservation in sequence alignments.

Methodologies used include sequence alignment, searches against biological databases, and others.

There are two main types of sequence alignment.

A variety of computational algorithms have been applied to the sequence alignment problem.

The sequence alignment and template structure are then used to produce a structural model of the target.

This sequence alignment method is often used in the context of hidden Markov models.

The profile is usually obtained from a well-conserved region in a multiple sequence alignment.

Most important, it will allow integration of visualized sequence alignment results under a single representation scheme.

Multiple amino-acid and coding sequence alignments are available on request.

Business and marketing research has also applied multiple sequence alignment techniques in analyzing series of purchases over time.

A structure-based sequence alignment is given in Fig.2.