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Papers: 10.1128/mSystems.00917-20

https://doi.org/10.1128/mSystems.00917-20

FADU: a Quantification Tool for Prokaryotic Transcriptomic Analyses

Cited by: 7
Author(s): Matthew Chung, Ricky S. Adkins, John Mattick, Katie R. Bradwell, Amol Shetty, Lisa Sadzewicz, Luke J. Tallon, Claire M. Fraser, David A. Rasko, Anup Mahurkar, Julie C. Dunning Hotopp
Published: over 4 years ago

Software Mentions 8

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)
bioconductor: GenomicFeatures
Conveniently import and query gene models
Papers that mentioned: 141
Very Likely Science (90)
cran: Julia
Fractal Image Data Generator
Papers that mentioned: 304
Very Likely Science (79)
cran: pvclust
Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling
Papers that mentioned: 442
Very Likely Science (75)
pypi: cufflinks
Productivity Tools for Plotly + Pandas
Papers that mentioned: 415
Very Likely Science (100)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)
pypi: kallisto
The Kallisto software enables the efficient calculation of atomic features that can be used within a quantitative structure-activity relationship (QSAR) approach. Furthermore, several modelling helpers are implemented.
Papers that mentioned: 307
Very Likely Science (100)