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Papers: 10.1186/s13007-021-00791-w

https://doi.org/10.1186/s13007-021-00791-w

Small-scale sequencing enables quality assessment of Ribo-Seq data: an example from Arabidopsis cell culture

Cited by: 3
Author(s): Amir Mahboubi, Nicolas Delhomme, Sara Lea Häggström, Johannes Hanson
Published: almost 4 years ago

Software Mentions 7

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: GenomicFeatures
Conveniently import and query gene models
Papers that mentioned: 141
Very Likely Science (90)
bioconductor: riboSeqR
Analysis of sequencing data from ribosome profiling experiments
Papers that mentioned: 7
Very Likely Science (100)
cran: ggpubr
'ggplot2' Based Publication Ready Plots
Papers that mentioned: 856
Very Likely Science (75)
pypi: bowtie
Interactive Dashboard Toolkit.
Papers that mentioned: 1,566
Very Likely Science (90)
pypi: browser
A package to prevent Dependency Confusion attacks against Yandex.
Papers that mentioned: 2,125
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)