Abstract
The mapping of RNA-Seq data on genome is not the same as DNA-Seq data, because the junction reads span two exons and have no identical matches at reference genome. In this chapter, we describe a junction read aligner SpliceMap that is based on an algorithm of “half-read seeding” and “seeding extension.” Four analysis steps are integrated in SpliceMap (half-read mapping, seeding selection, seeding extension and junction search, and paired-end filtering), and all toning parameters of these steps can be editable in a single configuration file. Thus, SpliceMap can be executed by a single command. While we describe the analysis steps of SpliceMap, we illustrate how to choose the parameters according to the research interest and RNA-Seq data quality by an example of human brain RNA-Seq data.
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© 2015 Springer Science+Business Media New York
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Au, K.F. (2015). Accurate Mapping of RNA-Seq Data. In: Picardi, E. (eds) RNA Bioinformatics. Methods in Molecular Biology, vol 1269. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2291-8_9
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DOI: https://doi.org/10.1007/978-1-4939-2291-8_9
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Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-2290-1
Online ISBN: 978-1-4939-2291-8
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