FISHalyseR

FISHalyseR quantifies and maps Fluorescence In Situ Hybridization (FISH) probes in digital cell culture images to extract spatial nuclear information for spatial co-localisation analysis.


Key Features:

  • Quantification of FISH Probes: Measures presence and intensity of FISH probes within nuclear regions to provide quantitative data for genomic studies.
  • Spatial Location Extraction: Extracts precise spatial coordinates for each nucleus and associated FISH probe to enable detailed spatial mapping.
  • Co-localisation Analysis: Determines spatial relationships between nuclei and probes to support in-depth spatial co-localisation studies.
  • Bioconductor Integration: Integrates with Bioconductor (R) to leverage its statistical frameworks and continuous testing for downstream analysis.
  • Advanced Image Processing Algorithms: Applies advanced image processing algorithms to analyze digital cell culture images and extract spatial information.

Scientific Applications:

  • Gene Expression and Chromosomal Abnormalities: Provides quantitative probe measurements useful for analyzing gene expression and detecting chromosomal abnormalities.
  • Spatial Genome Organization Studies: Enables investigation of spatial genome organization within cells through mapped probe and nuclear coordinates.
  • Cytogenetic Analyses: Enhances precision of cytogenetic analyses by delivering precise quantification and localization of FISH probes.

Methodology:

Leverages advanced image processing algorithms to analyze digital cell culture images and integrates with Bioconductor (R) to apply its statistical frameworks and continuous testing.

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

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

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