Using hidden Markov models to investigate G-quadruplex motifs in genomic sequences
Last updated: 2016-12-07
The programs (g4hmm-1.0.0.tar.gz) for running HMM-based methods and regular expression-based method are available.
The positive and negative sequence data (Seq.tar.gz) used in this work are available.
In addition, actual probability parameters used in computational experiments are HMMs_pos50.tar.gz for 50 training sequences and HMMs_pos100.tar.gz for 100 training sequences.
Masato Yano and Yuki Kato, Using hidden Markov models to investigate G-quadruplex motifs in genomic sequences, BMC Genomics, vol. 15(Suppl 9), S15, Dec. 2014.
If you have any questions, please contact Yuki Kato
Graduate School of Medicine, Osaka University, Japan