RF-DYMHC -- Detecting the yeast meiotic recombination hotspots and coldspots by random forest model using gapped dinucleotide composition features

What you can do:
Detect recombination hot/cold spots from yeast genome.
Highlights:
  • In the yeast, meiotic recombination is initiated by double-strand DNA breaks (DSBs) which occur at relatively high frequencies in some genomic regions (hotspots) and relatively low frequencies in others (coldspots).
  • Although observations concerning individual hot/cold spots have given clues as to the mechanism of recombination initiation, the prediction of hot/cold spots from DNA sequence information is a challenging task.
  • This resource introduces a random forest (RF) prediction model to detect recombination hot/cold spots from yeast genome.
  • The prediction model is implemented as a web server (RF-DYMHC) and is freely available.
  • Given a yeast genome and prediction parameters (RI-value and non-overlapping window scan size), the program reports the predicted hot/cold spots and marks them in color.
Keywords:
  • Algorithms
  • Artificial Intelligence
  • Chromosome Mapping/*methods
  • Codon/*genetics
  • Computational Biology/*methods
  • Genome, Fungal/genetics
  • Meiosis/*genetics
  • Nucleotides/*genetics
  • Pattern Recognition, Automated/methods
  • Recombination, Genetic/genetics
  • Saccharomyces cerevisiae/*cytology/*genetics
  • Sequence Analysis, DNA/*methods
This record last updated: 10-10-2007
Report a missing or misdirected URL.

The Health Sciences Library System supports the Health Sciences at the University of Pittsburgh.

© 1996 - 2023 Health Sciences Library System, University of Pittsburgh. All rights reserved.