Computation and Analysis of Genomic Multi-Sequence Alignments
- 1 September 2007
- journal article
- review article
- Published by Annual Reviews in Annual Review of Genomics and Human Genetics
- Vol. 8 (1) , 193-213
- https://doi.org/10.1146/annurev.genom.8.080706.092300
Abstract
Multi-sequence alignments of large genomic regions are at the core of many computational genome-annotation approaches aimed at identifying coding regions, RNA genes, regulatory regions, and other functional features. Such alignments also underlie many genome-evolution studies. Here we review recent computational advances in the area of multi-sequence alignment, focusing on methods suitable for aligning whole vertebrate genomes. We introduce the key algorithmic ideas in use today, and identify publicly available resources for computing, accessing, and visualizing genomic alignments. Finally, we describe the latest alignment-based approaches to identify and characterize various types of functional sequences. Key areas of research are identified and directions for future improvements are suggested.Keywords
This publication has 132 references indexed in Scilit:
- PReMod: a database of genome-wide mammalian cis-regulatory module predictionsNucleic Acids Research, 2006
- The UCSC genome browser database: update 2007Nucleic Acids Research, 2006
- AliWABA: alignment on the web through an A-Bruijn approachNucleic Acids Research, 2006
- FootPrinter3: phylogenetic footprinting in partially alignable sequencesNucleic Acids Research, 2006
- Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolutionNature, 2004
- Genome sequence of the Brown Norway rat yields insights into mammalian evolutionNature, 2004
- Multiple sequence alignment with the Clustal series of programsNucleic Acids Research, 2003
- Sequencing and comparison of yeast species to identify genes and regulatory elementsNature, 2003
- Initial sequencing and comparative analysis of the mouse genomeNature, 2002
- Initial sequencing and analysis of the human genomeNature, 2001