An Overview of Multiple Sequence Alignment Systems
Fahad Saeed, Ashfaq Khokhar

TL;DR
This paper reviews existing multiple sequence alignment systems, discussing their algorithms, limitations, and the quality of alignments they produce across different sequence types and alignment scenarios.
Contribution
It provides a comprehensive overview of current multiple sequence alignment methods, highlighting their strengths, weaknesses, and suitable application contexts.
Findings
Different systems have varying effectiveness depending on sequence type.
The quality of alignments depends on the algorithms and procedures used.
Limitations of current systems are identified and discussed.
Abstract
An overview of current multiple alignment systems to date are described.The useful algorithms, the procedures adopted and their limitations are presented.We also present the quality of the alignments obtained and in which cases(kind of alignments, kind of sequences etc) the particular systems are useful.
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Taxonomy
TopicsGenomics and Phylogenetic Studies · Machine Learning in Bioinformatics · Algorithms and Data Compression
