FeatureScan

FeatureScan identifies novel DNA sequence similarities by comparing physico-chemical properties of DNA double strands using a signal theory-based approach to reveal information not captured by letter-based similarity measures.


Key Features:

  • Physico-Chemical Property Analysis: Evaluates DNA parameters including charge, melting enthalpy, and conformational parameters to detect sequence similarities.
  • Signal Theory-Based Approach: Applies signal theory instead of letter-based measures to uncover hidden information within DNA primary structure.
  • Comprehensive Parameter Set: Employs thirty-eight distinct physico-chemical properties for analysis.
  • Output Formats and Database Links: Reports matches in FASTA format and links results to ENSEMBL, NCBI, and UCSC.
  • FFT Acceleration: Uses specialized hardware for fast Fourier transformations to enable rapid, genome-scale analysis.

Scientific Applications:

  • Promoter analysis in E. coli: Applied to promoters of E. coli genes, detecting similarities that correlate with transcriptional regulatory responsiveness under antibiotic and osmotic treatments.
  • Gene regulation studies: Supports genomic research into gene regulation mechanisms by identifying physico-chemical similarity relationships among sequences.

Methodology:

Comparison of DNA double-strand physico-chemical parameters using a signal theory-based analysis of primary sequence properties, with computations accelerated by specialized hardware for fast Fourier transformations to enable rapid analysis of entire eukaryotic genomes.

Topics

Details

Tool Type:
web application
Added:
3/24/2017
Last Updated:
11/25/2024

Operations

Publications

Deyneko IV, Bredohl B, Wesely D, Kalybaeva YM, Kel AE, Blocker H, Kauer G. FeatureScan: revealing property-dependent similarity of nucleotide sequences. Nucleic Acids Research. 2006;34(Web Server):W591-W595. doi:10.1093/nar/gkl337. PMID:16845077. PMCID:PMC1538849.

Deyneko IV, et al. Signal-theoretical DNA similarity measure revealing unexpected similarities of E. coli promoters. In Silico Biol. 2005; 5:547-55.

PMID: 16268796