Quantitative and Computational Biology Group, Max-Planck Institute for Biophysical Chemistry, 37077?Göttingen, Germany.
Université Clermont Auvergne, CNRS, LMGE, F-63000 Clermont-Ferrand, France.
Bioinformatics. 2017 Oct 1;33(19):3113-3114. doi: 10.1093/bioinformatics/btx383.
WIsH predicts prokaryotic hosts of phages from their genomic sequences. It achieves 63% mean accuracy when predicting the host genus among 20 genera for 3 kbp-long phage contigs. Over the best current tool, WisH shows much improved accuracy on phage sequences of a few kbp length and runs hundreds of times faster, making it suited for metagenomics studies.
OpenMP-parallelized GPL-licensed C ++ code available at https://github.com/soedinglab/wish.
clovis.galiez@mpibpc.mpg.de or soeding@mpibpc.mpg.de.
Supplementary data are available at Bioinformatics online.
WIsH 根据基因组序列预测噬菌体的原核宿主。当预测 3 kbp 长噬菌体序列的 20 个属中的宿主属时,WIsH 的平均准确率达到 63%。与当前最好的工具相比,WIsH 在几 kbp 长度的噬菌体序列上显示出更高的准确性,并且运行速度快数百倍,非常适合宏基因组学研究。
可在 https://github.com/soedinglab/wish 上获得 OpenMP 并行化的 GPL 许可 C++代码。
clovis.galiez@mpibpc.mpg.de 或 soeding@mpibpc.mpg.de。
补充数据可在 Bioinformatics 在线获得。