SELEX
SELEX quantifies DNA binding specificities from SELEX-seq (Systematic Evolution of Ligands by Exponential Enrichment) sequencing data to characterize protein–DNA interactions.
Key Features:
- Integration with Bioconductor: Implements analysis within the Bioconductor ecosystem to enable interoperability with other Bioconductor packages and workflows.
- R-based statistical processing: Performs statistical processing of SELEX-seq datasets using the R programming language.
- Interoperable package ecosystem: Operates as part of a suite of 934 interoperable Bioconductor packages contributed by the scientific community.
- Formal review and automated testing: Packages undergo formal initial review and continuous automated testing to promote software reliability.
Scientific Applications:
- Quantification of binding specificities: Quantifies DNA binding specificities from SELEX-seq data to infer protein sequence preferences.
- Identification of binding motifs: Identifies preferred DNA sequences and enriched motifs bound by proteins from SELEX-seq enrichment profiles.
Methodology:
Computational analysis of SELEX-seq data using R for statistical processing of DNA–protein interaction signals.
Topics
Collections
Details
- License:
- GPL-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.