LedPred 1.7.7 – Learning from DNA to Predict enhancers

LedPred 1.7.7

:: DESCRIPTION

LedPred aims at creating a predictive model of regulatory sequences used to score unknown sequences based on the content of DNA motifs, next-generation sequencing (NGS) peaks and signals and other numerical scores of the sequences using supervised classification.

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::DEVELOPER

Elodie Darbo, Denis Seyres, Aitor Gonzalez<aitor.gonzalez at univ-amu.fr>

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/Windows/MacOsX
  • R/ BioConductor

:: DOWNLOAD

 LedPred

:: MORE INFORMATION

Citation:

LedPred: An R/Bioconductor package to predict regulatory sequences using support vector machines.
Seyres D, Darbo E, Perrin L, Herrmann C, González A.
Bioinformatics. 2015 Dec 1. pii: btv705

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