NCI Flicker
NCI Flicker performs visual comparison and spatial alignment of two-dimensional (2-D) protein gel images to facilitate identification of corresponding protein spots across samples and internet-hosted 2-D gel databases.
Key Features:
- Flicker-comparison technique: Rapid alternation of two aligned images to reveal subtle differences and correspondences in protein spot morphology.
- Spatial warping and landmarking: Interactive selection of corresponding landmark points and application of spatial warping to align gel geometries.
- Integration with online 2-D gel databases: Support for comparing local gel images with images retrieved from internet-based 2-D gel databases (e.g., SWISS-2DPAGE).
- Local and remote image handling: Ability to use one image sourced from an online database and another from a local computer for comparative analysis.
Scientific Applications:
- Proteomic spot identification: Aid identification or suggestion of protein spot identities by visual comparison of 2-D gels.
- Cross-laboratory comparison and validation: Enable comparison of gels generated in different laboratories to assess reproducibility and validate spot assignments.
- Database-driven spot matching: Facilitate matching of experimental gel spots to entries in online 2-D gel repositories such as SWISS-2DPAGE.
Methodology:
One gel image is sourced from an online database and the other from a local computer, corresponding landmark points are interactively selected to guide spatial warping, and the aligned images are alternated (flicker comparison) to visually match protein spots.
Topics
Collections
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 5/2/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Lemkin PF. Comparing 2-D Electrophoretic Gels Across Internet Databases. 2-D Proteome Analysis Protocols. None. doi:10.1385/1-59259-584-7:393. PMID:10027264.
Lemkin PF. Comparing two‐dimensional electrophoretic gel images across the Internet. ELECTROPHORESIS. 1997;18(3-4):461-470. doi:10.1002/elps.1150180321. PMID:9150925.