Longest Common Prefixes with k-Mismatches and Applications-Reference-Cited by-同舟云学术

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Longest Common Prefixes with k-Mismatches and Applications

Published:2017-12-22 Issue: Volume: Page:636-649
ISSN:0302-9743
Container-title:SOFSEM 2018: Theory and Practice of Computer Science
language:
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Author:

Alamro Hayam,Ayad Lorraine A. K.,Charalampopoulos Panagiotis,Iliopoulos Costas S.,Pissis Solon P.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-73117-9_45

Reference30 articles.

1. Abouelhoda, M.I., Kurtz, S., Ohlebusch, E.: Replacing suffix trees with enhanced suffix arrays. J. Discret. Algorithms 2(1), 53–86 (2004)

2. Altschul, S.F., Gish, W., Miller, W., Myers, E.W., Lipman, D.J.: Basic local alignment search tool. J. Mol. Biol. 215(3), 403–410 (1990)

3. Alzamel, M., Charalampopoulos, P., Iliopoulos, C.S., Pissis, S.P., Radoszewski, J., Sung, W.-K.: Faster algorithms for 1-mappability of a sequence. In: COCOA. LNCS, vol. 10628, pp. 109–121. Springer International Publishing (2017). https://doi.org/10.1007/978-3-319-71147-8_8

4. Amir, A., Landau, G.M., Lewenstein, M., Sokol, D.: Dynamic text and static pattern matching. ACM Trans. Algorrithms 3(2), 19 (2007)

5. Antoniou, P., Daykin, J.W., Iliopoulos, C.S., Kourie, D., Mouchard, L., Pissis, S.P.: Mapping uniquely occurring short sequences derived from high throughput technologies to a reference genome. In: ITAB, pp. 1–4. IEEE Computer Society (2009)

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Longest k-tuple Common Sub-Strings;2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2022-12-06

2. Efficient Computation of Sequence Mappability;Algorithmica;2022-02-02

3. Faster algorithms for 1-mappability of a sequence;Theoretical Computer Science;2020-04

4. Apache Spark Implementations for String Patterns in DNA Sequences;Advances in Experimental Medicine and Biology;2020

5. Longest Common Prefixes with k-Errors and Applications;String Processing and Information Retrieval;2018

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