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Papers: 10.1371/journal.pcbi.1008991

https://doi.org/10.1371/journal.pcbi.1008991

Memes: A motif analysis environment in R using tools from the MEME Suite

Cited by: 22
Author(s): Spencer L. Nystrom, Daniel J. McKay
Published: almost 4 years ago

Software Mentions 12

bioconductor: GenomicRanges
Representation and manipulation of genomic intervals
Papers that mentioned: 323
Very Likely Science (90)
bioconductor: memes
motif matching, comparison, and de novo discovery using the MEME Suite
Papers that mentioned: 1
Very Likely Science (100)
cran: dplyr
A Grammar of Data Manipulation
Papers that mentioned: 1,213
Very Likely Science (100)
cran: fasta
Fast Adaptive Shrinkage/Thresholding Algorithm
Papers that mentioned: 848
Very Likely Science (60)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: tidyverse
Easily Install and Load the 'Tidyverse'
Papers that mentioned: 1,023
Very Likely Science (100)
pypi: denovo
handy tools and classes for a new python package
Papers that mentioned: 82
Very Likely Science (85)
pypi: fasta
The fasta python package enables you to deal with biological sequence files easily.
Papers that mentioned: 848
Very Likely Science (80)
pypi: memes
Fresh memes for your terminal!
Papers that mentioned: 1
Very Likely Science (65)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: to
A trainer for PyTorch
Papers that mentioned: 39
Very Likely Science (65)
pypi: view
Amazing RestAPI Wrapper!
Papers that mentioned: 76
Very Likely Science (65)