PCpheno

PCpheno integrates and annotates phenotypic data with cellular organizational units such as protein complexes and pathways to support interpretation of genotype–phenotype relationships in high-throughput genomic and molecular biology studies.


Key Features:

  • Integration and Annotation: Links phenotypes directly to biological entities such as protein complexes and pathways to enable systematic annotation of phenotype–genotype relationships.
  • Interoperability: Operates within the Bioconductor ecosystem and the R environment, interoperating with other Bioconductor packages for downstream analysis.
  • Rigorous Quality Assurance: Aligns with Bioconductor's formal initial review and continuous automated testing processes.
  • Community Development: Is developed and maintained by contributors within the Bioconductor community.

Scientific Applications:

  • Genomic Studies: Enables exploration of associations between genetic variation and phenotypes in high-throughput genomic analyses.
  • Pathway Analysis: Associates phenotypes with pathways to provide insight into underlying biological processes.
  • Protein Complex Research: Links phenotypes to protein complexes to support studies of cellular function and molecular interactions.

Methodology:

Leverages Bioconductor's suite of interoperable R packages to analyze high-throughput genomic and molecular biology data, supporting statistical analyses and visualizations within the R environment.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

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.

Documentation

Downloads