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    STRIDE: a command-line HMM-based identifier and sub-classifier of Plasmodium falciparum RIFIN and STEVOR variant surface antigen families.

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    Author
    Zhou, Albert E
    Shah, Zalak V
    Bradwell, Katie R
    Munro, James B
    Berry, Andrea A
    Serre, David
    Takala-Harrison, Shannon
    O'Connor, Timothy D
    Silva, Joana C
    Travassos, Mark A
    Date
    2022-01-06
    Journal
    BMC Bioinformatics
    Publisher
    Springer Nature
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1186/s12859-021-04515-8
    Abstract
    Background: RIFINs and STEVORs are variant surface antigens expressed by P. falciparum that play roles in severe malaria pathogenesis and immune evasion. These two highly diverse multigene families feature multiple paralogs, making their classification challenging using traditional bioinformatic methods. Results: STRIDE (STevor and RIfin iDEntifier) is an HMM-based, command-line program that automates the identification and classification of RIFIN and STEVOR protein sequences in the malaria parasite Plasmodium falciparum. STRIDE is more sensitive in detecting RIFINs and STEVORs than available PFAM and TIGRFAM tools and reports RIFIN subtypes and the number of sequences with a FHEYDER amino acid motif, which has been associated with severe malaria pathogenesis. Conclusions: STRIDE will be beneficial to malaria research groups analyzing genome sequences and transcripts of clinical field isolates, providing insight into parasite biology and virulence. © 2021, The Author(s).
    Rights/Terms
    © 2021. The Author(s).
    Keyword
    Bioinformatics
    Hidden Markov models
    Malaria
    Plasmodium falciparum
    RIFIN
    STEVOR
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/17515
    ae974a485f413a2113503eed53cd6c53
    10.1186/s12859-021-04515-8
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