TY - JOUR
T1 - Computational prediction of nucleosome positioning by calculating the relative fragment frequency index of nucleosomal sequences
AU - Ogawa, Ryu
AU - Kitagawa, Noriyuki
AU - Ashida, Hiroki
AU - Saito, Rintaro
AU - Tomita, Masaru
PY - 2010/4/1
Y1 - 2010/4/1
N2 - We developed an accurate method to predict nucleosome positioning from genome sequences by refining the previously developed method of Peckham et al. (2007) [19]. Here, we used the relative fragment frequency index we developed and a support vector machine to screen for nucleosomal and linker DNA sequences. Our twofold cross-validation revealed that the accuracy of our method based on the area under the receiver operating characteristic curve was 81%, whereas that of Peckham's method was 75% when both of two nucleosomal sequence data obtained from independent experiments were used for validation. We suggest that our method is more effective in predicting nucleosome positioning.
AB - We developed an accurate method to predict nucleosome positioning from genome sequences by refining the previously developed method of Peckham et al. (2007) [19]. Here, we used the relative fragment frequency index we developed and a support vector machine to screen for nucleosomal and linker DNA sequences. Our twofold cross-validation revealed that the accuracy of our method based on the area under the receiver operating characteristic curve was 81%, whereas that of Peckham's method was 75% when both of two nucleosomal sequence data obtained from independent experiments were used for validation. We suggest that our method is more effective in predicting nucleosome positioning.
KW - Computational prediction
KW - Nucleosome
KW - Support vector machine
UR - http://www.scopus.com/inward/record.url?scp=77951297858&partnerID=8YFLogxK
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U2 - 10.1016/j.febslet.2010.02.067
DO - 10.1016/j.febslet.2010.02.067
M3 - Article
C2 - 20206172
AN - SCOPUS:77951297858
SN - 0014-5793
VL - 584
SP - 1498
EP - 1502
JO - FEBS Letters
JF - FEBS Letters
IS - 8
ER -