Introduction
Multiple sequence alignment (MSA), which is of fundamental importance for comparative genomics, is a difficult problem and error-prone. Therefore, it is essential to measure the reliability of the alignments and incorporate it into downstream analyses. Many studies have been conducted to find the extent, cause and effect of the alignment errors [4], and to heuristically estimate the quality of alignments without using the true alignment, which is unknown [2]. However, it is still unclear whether the heuristically chosen measures are general enough to take into account all alignment errors. In this paper, we present a new alignment reliability score, called PSAR (Probabilistic Sampling-based Alignment Reliability) score.
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References
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© 2011 Springer-Verlag Berlin Heidelberg
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Kim, J., Ma, J. (2011). PSAR: Measuring Multiple Sequence Alignment Reliability by Probabilistic Sampling. In: Bafna, V., Sahinalp, S.C. (eds) Research in Computational Molecular Biology. RECOMB 2011. Lecture Notes in Computer Science(), vol 6577. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20036-6_14
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DOI: https://doi.org/10.1007/978-3-642-20036-6_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20035-9
Online ISBN: 978-3-642-20036-6
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