Traceback Memory Reduction for Three-Sequence Alignment Algorithm with Affine Gap Models
Published in 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022
A traceback encoding design reduces memory requirements for three-sequence alignment with affine gap models.
Recommended citation: Chien, Ruei-Ting, Mao-Jan Lin, Yang-Ming Yeh, and Yi-Chang Lu. "Traceback Memory Reduction for Three-Sequence Alignment Algorithm with Affine Gap Models." 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2022).
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