a4Preproc
a4Preproc preprocesses microarray data and integrates annotation information to prepare datasets for downstream genomic and molecular analyses.
Key Features:
- Annotation Integration: Adds comprehensive annotation details to raw microarray datasets for accurate downstream analysis.
- Interoperability within Bioconductor: Provides interoperability with over 934 Bioconductor packages to leverage additional bioinformatic and statistical methods.
- R-based Framework: Implements preprocessing and annotation functionality within the R statistical programming environment.
- Integration with the a4 suite: Functions as a component of the "a4" suite of packages for coordinated preprocessing workflows.
Scientific Applications:
- Genomics Research: Supports gene expression analysis, biomarker identification, and comparative genomic studies using preprocessed annotated microarray data.
- Molecular Biology Studies: Provides a foundation for analysis of high-throughput experimental results in molecular biology by delivering annotated, preprocessed datasets.
Methodology:
Incorporates formal initial review processes and continuous automated testing aligned with Bioconductor quality assurance standards to ensure data integrity and accuracy.
Topics
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.