Abstract
With the first Human DNA being decoded into a sequence of about 2.8 billion base pairs, many biological research has been centered on analyzing this sequence. Theoretically speaking, it is now feasible to accommodate an index for human DNA in main memory so that any pattern can be located efficiently. This is due to the recent breakthrough on compressed suffix arrays, which reduces the space requirement from O(n log n) bits to O(n) bits. However, constructing compressed suffix arrays is still not an easy task because we still have to compute suffix arrays first and need a working memory of O(n log n) bits (i.e., more than 13 Gigabytes for human DNA). This paper initiates the study of constructing compressed suffix arrays directly from text. The main contribution is a new construction algorithm that uses only O(n) bits of working memory, and more importantly, the time complexity remains the same as before, i.e., O(n log n).
This research was supported in part by NUS Academic Research Grant R-252-000-119-112
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Lam, TW., Sadakane, K., Sung, WK., Yiu, SM. (2002). A Space and Time Efficient Algorithm for Constructing Compressed Suffix Arrays. In: Ibarra, O.H., Zhang, L. (eds) Computing and Combinatorics. COCOON 2002. Lecture Notes in Computer Science, vol 2387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45655-4_43
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DOI: https://doi.org/10.1007/3-540-45655-4_43
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