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EMMA: a new method for computing multiple sequence alignments given a constraint subset alignment.

, , , and . Algorithms Mol. Biol., 18 (1): 21 (December 2023)

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Well-Connected Communities in Real-World Networks., , , , , , , , , and . CoRR, (2023)EMMA: a new method for computing multiple sequence alignments given a constraint subset alignment., , , and . Algorithms Mol. Biol., 18 (1): 21 (December 2023)AOC: Assembling overlapping communities., , , and . Quant. Sci. Stud., 3 (4): 1079-1096 (Fall 2022)EMMA: Adding Sequences into a Constraint Alignment with High Accuracy and Scalability (Abstract)., , , and . WABI, volume 273 of LIPIcs, page 2:1-2:2. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Weighted ASTRID: fast and accurate species trees from weighted internode distances., and . Algorithms Mol. Biol., 18 (1): 6 (December 2023)Fast and Accurate Species Trees from Weighted Internode Distances., and . WABI, volume 242 of LIPIcs, page 8:1-8:24. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Scalable Species Tree Inference with External Constraints., and . J. Comput. Biol., 29 (7): 664-678 (2022)Identifying Well-Connected Communities in Real-World and Synthetic Networks., , , , , , , , , and . COMPLEX NETWORKS (2), volume 1142 of Studies in Computational Intelligence, page 3-14. Springer, (2023)