Helps with:
Compress
Source Type:
Open
License Types:
Supported OS:
Languages:
CPP
What is it all about?
As the technique of acquiring genome sequences advances, the storage and data transferring of large genome data are becoming important concerns for biomedical researchers. We propose a two pass genome compression algorithm, which highlights the synthesis of complementary contextual models and the introduction of logistic regression mixture method, to improve the compression performance.
Key Features
•Genome compression with/without reference •High compression rate
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Description
free - see site
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