Published December 3, 2015
| Version 1.0
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Detecting “protein words” through unsupervised word segmentation: First release
Description
Unsupervised word segmentation methods were applied to analyze protein sequences. Protein sequences, such as “MTMDKSELVQKA…,” were used as input to these methods. Segmented protein word sequences, such as “MTM DKSE LVQKA,” were then obtained. We compared the protein words derived via unsupervised segmentation and protein secondary structure segmentation.
Files
secondary_structure_detection-1.0.zip
Files
(32.9 MB)
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md5:d53b239c327e215b5efebe5124e81d71
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Additional details
Related works
- Is supplement to
- https://github.com/maris205/secondary_structure_detection/tree/1.0 (URL)