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Everything about GenePattern
American genomic data analysis software
GenePattern is a freely available computational biology open-source software package originally created and developed at the Broad Institute for the analysis of genomic data. Designed to enable researchers to develop, capture, and reproduce genomic analysis methodologies, GenePattern was first released in 2004. GenePattern is currently developed at the University of California, San Diego. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: GenePatternA 5-minute orientation
- Skim a recent paper: Abstract 1903: GenePattern Notebook: An integrative analytical environment for cancer researchInfluential work since 2022
- Read the landmark paper: GenePattern 2.0Cited 1,943 times
- Go sideways: Scientific workflow systemA closely related topic
- Go sideways: Galaxy (computational biology)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
GenePattern 2.0
Implementation of GenePattern within the Stanford Microarray Database
Using GenePattern for Gene Expression Analysis
InSilico DB genomic datasets hub: an efficient starting point for analyzing genome-wide studies in GenePattern, Integrative Genomics Viewer, and R/Bioconductor
The GenePattern Notebook Environment
Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R and GenePattern Notebook implementations of CoGAPS
NuGO contributions to GenePattern
GenePattern flow cytometry suite
🆕 Influential since 2022
📚 Books worth reading
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🔗 Related topics
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