Computation and Analysis of Genomic Multi-Sequence Alignments

Author:

Blanchette Mathieu1

Affiliation:

1. McGill Centre for Bioinformatics, McGill University, Montreal, Quebec, Canada, H3A 2B4;

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.

Publisher

Annual Reviews

Subject

Genetics (clinical),Genetics,Molecular Biology

Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Multiple Alignment of Promoter Sequences from the Arabidopsis thaliana L. Genome;Genes;2021-01-21

3. RLALIGN: A Reinforcement Learning Approach for Multiple Sequence Alignment;2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE);2018-10

4. [Regular Paper] Detection of Errors in Multi-genome Alignments Using Machine Learning Approaches;2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE);2018-10

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