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Papers: 10.1186/s13059-020-02165-2

https://doi.org/10.1186/s13059-020-02165-2

iMOKA: k-mer based software to analyze large collections of sequencing data

Cited by: 6
Author(s): Claudio Lorenzi, Sylvain Barriere, Jean-Philippe Villemin, Laureline Dejardin Bretones, Alban Mancheron, William Ritchie
Published: almost 5 years ago

Software Mentions 9

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
cran: mlpack
'Rcpp' Integration for the 'mlpack' Library
Papers that mentioned: 3
Very Likely Science (100)
pypi: armadillo
Gaussian distributions
Papers that mentioned: 3
Very Likely Science (65)
pypi: gmap
A package that prints 'Hello, World!'
Papers that mentioned: 64
Very Likely Science (65)
pypi: mlpack
a flexible, fast machine learning library
Papers that mentioned: 3
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)