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Papers: 10.1186/s12864-018-5264-y

https://doi.org/10.1186/s12864-018-5264-y

Helmsman: fast and efficient mutation signature analysis for massive sequencing datasets

Cited by: 18
Author(s): Jedidiah Carlson, Jun Z. Li, Sebastian Zöllner
Published: over 6 years ago

Software Mentions 6

bioconductor: signeR
Empirical Bayesian approach to mutational signature discovery
Papers that mentioned: 9
Very Likely Science (100)
bioconductor: SomaticSignatures
Somatic Signatures
Papers that mentioned: 32
Very Likely Science (67)
cran: deconstructSigs
Identifies Signatures Present in a Tumor Sample
Papers that mentioned: 85
Very Likely Science (100)
pypi: bgzip
Utilities working with blocked gzip streams.
Papers that mentioned: 16
Very Likely Science (85)
pypi: nimfa
A Python module for nonnegative matrix factorization
Papers that mentioned: 3
Very Likely Science (80)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)