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NanoCount estimates transcripts abundance from Oxford Nanopore *direct-RNA sequencing* datasets, using an expectation-maximization approach like RSEM, Kallisto, salmon, etc to handle the uncertainty of multi-mapping reads
pip install nanocount
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
NanoCount publishes 1 wheel and 1 source archive for version 1.1.0.post2. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 25 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .