Papers: 10.3390/cancers13020230

https://doi.org/10.3390/cancers13020230

A Set of Cell Lines Derived from a Genetic Murine Glioblastoma Model Recapitulates Molecular and Morphological Characteristics of Human Tumors

Cited by: 10
Author(s): Bárbara Costa, Michael Fletcher, Pavle Boskovic, Ekaterina Ivanova, Tanja Eisemann, Sabrina Lohr, Lukas Bunse, Martin Löwer, Stefanie Burchard, Andrey Korshunov, Nadia Coltella, Melania Cusimano, Luigi Naldini, Hai-Kun Liu, Michael Platten, Bernhard Radlwimmer, Peter Angel, Heike Peterziel
Published: over 5 years ago

Software Mentions 10

bioconductor: ComplexHeatmap
Make Complex Heatmaps
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Very Likely Science (90)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
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cran: AR
Another Look at the Acceptance-Rejection Method
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Very Likely Science (75)
cran: fasta
Fast Adaptive Shrinkage/Thresholding Algorithm
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Very Likely Science (60)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
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Very Likely Science (100)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
pypi: CNVkit
Copy number variation toolkit for high-throughput sequencing.
Papers that mentioned: 161
Very Likely Science (65)
pypi: fasta
The fasta python package enables you to deal with biological sequence files easily.
Papers that mentioned: 848
Very Likely Science (80)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.
Papers that mentioned: 893
Very Likely Science (100)
pypi: RSeQC
RNA-seq QC Package
Papers that mentioned: 366
Very Likely Science (80)