DocumentCode :
673204
Title :
Multiple sequence alignment a quick tour
Author :
Chintapalli, Radha ; Kumar, Ajit ; Parayitam, Laxminarayana
Author_Institution :
Res. & Training Unit for Navig. Electron., Osmania Univ., Hyderabad, India
fYear :
2013
fDate :
21-22 Sept. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Sequence alignment has a lot of significance in the field of bioinformatics. Since multiple sequence alignment (MSA) carries more information than pairwise alignment of the sequences, it has more number of applications. In the past few decades many algorithms and tools have been developed for the computation of multiple sequence alignment. However, accuracy of MSA still remains an open problem for further research. As more and more experimental data is being generated through sequencing technologies of second generation, there is an urgent need to develop tools that make use of integrative methods to derive biologically meaningful information from these immense data and use it to improve the accuracy of MSA. MSA tools that can scale upto the full length genome will also find wide applications in the near future.
Keywords :
DNA; RNA; bioinformatics; proteins; DNA; MSA tools; RNA; bioinformatics; biologically meaningful information; multiple sequence alignment; protein; sequencing technologies; Accuracy; Dynamic programming; Heuristic algorithms; Hidden Markov models; Matrices; Probabilistic logic; Proteins; Alignment; DNA; algorithm; dynamic programming proteins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing Technologies (ICACT), 2013 15th International Conference on
Conference_Location :
Rajampet
Print_ISBN :
978-1-4673-2816-6
Type :
conf
DOI :
10.1109/ICACT.2013.6710499
Filename :
6710499
Link To Document :
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