PIMENTo
PIMENTo performs normalization and gene expression analysis of DNA microarray data from tumor tissues using R and packages from CRAN and Bioconductor.
Key Features:
- Streamlined workflow: Automates multi-step processing of microarray data from raw input through expression summarization.
- Integration with R, CRAN, and Bioconductor: Implements analysis routines using the R programming language and open-source packages from CRAN and Bioconductor.
- Data input and output management: Handles microarray data inputs and produces structured outputs for downstream analysis and interpretation.
- Quality control assessments: Performs quality control checks to assess integrity and consistency of microarray data during normalization and expression analysis.
Scientific Applications:
- Tumor microarray profiling: Supports gene expression profiling of tumor tissue samples generated by DNA microarrays.
- Differential expression analysis: Enables identification of differentially expressed genes between experimental groups.
- Tumor biology investigation: Facilitates studies aimed at understanding molecular features and pathways in tumors.
- Translational and personalized medicine research: Contributes data processing for studies linking expression profiles to clinical or therapeutic contexts.
Methodology:
Computational steps explicitly include data input, quality control, normalization, and expression analysis implemented in R using CRAN and Bioconductor packages.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 7/4/2019
- Last Updated:
- 6/16/2020
Operations
Data Inputs & Outputs
Expression analysis
Inputs
Publications
Nash T, Huff M, Glen WB, Hardiman G. Pipeline for Integrated Microarray Expression Normalization Tool Kit (PIMENTo) for Tumor Microarray Profiling Experiments. Methods in Molecular Biology. 2019. doi:10.1007/978-1-4939-9004-7_11. PMID:30649727.
PMID: 30649727
Documentation
User manual
https://rdrr.io/github/MUSC-CGM/PIMENTo/man/Links
Issue tracker
https://github.com/MUSC-CGM/PIMENTo/issues