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Application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window., , , and . AIAI Workshops, volume 585 of IFIP Advances in Information and Communication Technology, page 213-224. Springer, (2020)Circular Sequence Comparison with q-grams., , , , , , and . WABI, volume 9289 of Lecture Notes in Computer Science, page 203-216. Springer, (2015)Preface., and . Int. J. Found. Comput. Sci., 29 (8): 1247-1248 (2018)Maximal Motif Discovery in a Sliding Window., , , and . SPIRE, volume 11147 of Lecture Notes in Computer Science, page 191-205. Springer, (2018)Accurate and Efficient Methods to Improve Multiple Circular Sequence Alignment., , , , , and . SEA, volume 9125 of Lecture Notes in Computer Science, page 247-258. Springer, (2015)Linear-time superbubble identification algorithm for genome assembly., , , , , and . Theor. Comput. Sci., (2016)On-Line Pattern Matching on Similar Texts., , , , , , , , and . CPM, volume 78 of LIPIcs, page 9:1-9:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)Popping Superbubbles and Discovering Clumps: Recent Developments in Biological Sequence Analysis., , , and . WALCOM, volume 9627 of Lecture Notes in Computer Science, page 3-14. Springer, (2016)