Identity: rapid alignment-free prediction of sequence alignment identity scores using self-supervised general linear models
نویسندگان
چکیده
منابع مشابه
Alignment-free Sequence Analysis Using Extensible Markov Models
Profile models based on Hidden Markov Models (HMM) for sequence studies have gained visibility among researchers. While the mathematical foundation, the proven algorithms such as Viterbi, Forward and Backward algorithms have certainly provided a rigorous probabilistic platform, the requirement of classic alignment has ensured an extremely high time complexity. We propose the use of another kind...
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ژورنال
عنوان ژورنال: NAR Genomics and Bioinformatics
سال: 2021
ISSN: 2631-9268
DOI: 10.1093/nargab/lqab001