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Computation and analysis of genomic multi-sequence alignments.

Mathieu Blanchette¹

¹McGill Centre for Bioinformatics, McGill University, Montreal, Quebec, Canada.

Annual Review of Genomics and Human Genetics

|May 11, 2007

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This review covers computational advances in multi-sequence alignment for large genomic regions, crucial for genome annotation and evolution studies. It highlights methods for vertebrate genomes and resources for analysis.

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Multi-sequence alignment of large genomic regions is fundamental for computational genome annotation and evolutionary studies.
Identifying coding regions, RNA genes, and regulatory elements relies heavily on these alignments.

Purpose of the Study:

To review recent computational advances in multi-sequence alignment methods.
To focus on techniques suitable for aligning entire vertebrate genomes.
To introduce algorithmic concepts, available resources, and alignment-based functional sequence identification approaches.

Main Methods:

Review of recent computational advances in multi-sequence alignment algorithms.
Focus on methods applicable to whole vertebrate genome alignment.

Related Experiment Videos

Identification of publicly available resources for genomic alignment computation, access, and visualization.

Main Results:

Introduction to key algorithmic ideas in current multi-sequence alignment.
Identification of resources for computing, accessing, and visualizing genomic alignments.
Description of alignment-based approaches for identifying and characterizing functional sequences.

Conclusions:

Recent advances provide powerful tools for genomic analysis.
Availability of resources facilitates the study of genomic alignments.
Future research directions are identified for improving alignment-based functional sequence discovery.