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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s12864-019-5504-9

https://doi.org/10.1186/s12864-019-5504-9

Streamlined computational pipeline for genetic background characterization of genetically engineered mice based on next generation sequencing data

Cited by: 5
Author(s): Carlos Farkas, Francisco Fuentes-Villalobos, Boris Rebolledo‐Jaramillo, Fernando Benavides, Ariel F. Castro, Roxana Pincheira
Published: over 6 years ago

Software Mentions 5

bioconductor: RUVSeq
Remove Unwanted Variation from RNA-Seq Data
Papers that mentioned: 91
Very Likely Science (100)
cran: DescTools
Tools for Descriptive Statistics
Papers that mentioned: 152
Very Likely Science (91)
cran: edgeRun
More Powerful Unconditional Testing of Negative Binomial Means for Digital Gene Expression Data
Papers that mentioned: 10
Very Likely Science (85)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
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)