Abstract: In bioinformatics field, sequencing technologies evolving rapidly. And it generates so much unclassified and random data. In the process of analyzing this data, most difficult part is, sequence alignment, where we compare sequence reads with a reference. Over the past two years, so many different algorithms and software has been developed for this purpose. One can use cloud computing for that purpose. We can also go for different algorithms for mapping purpose. After study of different algorithms over different data sets, we can conclude that short-read sequences are not bottleneck for data analysis. With the help of long sequence reads and cloud computing, We can develop much faster and accurate algorithms which can be used by different sequence alignment software.
Keyword: Next generation sequencing, RNA-sequence, tophat, splice junction, Alignment algorithms.
Title: Alignment Algorithms For RNA-Seq
Author: Anshul Vyas, Prof. Varshapriya Jyotinagar
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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