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- W2177379918 endingPage "541" @default.
- W2177379918 startingPage "523" @default.
- W2177379918 abstract "Precision medicine or personalized medicine has been proposed as a modernized and promising medical strategy. Genetic variants of patients are the key information for implementation of precision medicine. Next-generation sequencing (NGS) is an emerging technology for deciphering genetic variants. Alignment of raw reads to a reference genome is one of the key steps in NGS data analysis. Many algorithms have been developed for alignment of short read sequences since 2008. Users have to make a decision on which alignment algorithm to use in their studies. Selection of the right alignment algorithm determines not only the alignment algorithm but also the set of suitable parameters to be used by the algorithm. Understanding these algorithms helps in selecting the appropriate alignment algorithm for different applications in precision medicine. Here, we review current available algorithms and their major strategies such as seed-and-extend and q-gram filter. We also discuss the challenges in current alignment algorithms, including alignment in multiple repeated regions, long reads alignment and alignment facilitated with known genetic variants." @default.
- W2177379918 created "2016-06-24" @default.
- W2177379918 creator A5039124210 @default.
- W2177379918 creator A5067368540 @default.
- W2177379918 creator A5068886380 @default.
- W2177379918 creator A5070149523 @default.
- W2177379918 date "2015-11-23" @default.
- W2177379918 modified "2023-10-17" @default.
- W2177379918 title "Alignment of Short Reads: A Crucial Step for Application of Next-Generation Sequencing Data in Precision Medicine" @default.
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