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Modern Computational Techniques for the HMMER Sequence Analysis
2013
ISRN Bioinformatics
This paper focuses on the latest research and critical reviews on modern computing architectures, software and hardware accelerated algorithms for bioinformatics data analysis with an emphasis on one of the most important sequence analysis applications—hidden Markov models (HMM). We show the detailed performance comparison of sequence analysis tools on various computing platforms recently developed in the bioinformatics society. The characteristics of the sequence analysis, such as data and
doi:10.1155/2013/252183
pmid:25937944
pmcid:PMC4393056
fatcat:kdo43qa23je4zflfpkvkhoxkfu