Pipeline for the identification and classification of ion channels in parasitic flatworms

• Main Authors: Nor, B, Young, N.D, Korhonen, P.K, Hall, R.S, Tan, P, Lonie, A, Gasser, R.B
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: 2020
• Subjects: ion channel; membrane protein; accuracy; amino acid sequence; Article; bioinformatics; cancer risk; carcinogenicity; classification; microbial genome; multi screening ion channel classifier; nonhuman; Opisthorchis viverrini; pipeline; pipeline embolization device; platyhelminth; protein analysis; protein domain; reliability; sensitivity analysis; support vector machine; animal; biology; enzymology; genetics; parasitology; procedures; Animals; Computational Biology; Ion Channels; Parasitology; Platyhelminths
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/179950
• Institution: National University of Singapore

10.1186/s13071-016-1428-2