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LiFFT: Likelihood-based Fits of Footprinting Transitions

eagle-i ID


Resource Type

  1. Software


  1. Resource Description
    This analysis tool will allow researchers to analyze their entire footprinting dataset, without filtering out noisy lanes and residues, or heuristic normalization, by employing a likelihood-based model fitting approach. This methodology allows for the rigorous estimation of parameters and parameter confidence intervals, to fit footprinting data to real physical models. Keywords: RNA footprinting data analysis
  2. Contact
    Das, Rhiju
  3. Contact
    Bisaria, Namita
  4. Used by
    Stanford University
  5. Operating System
Provenance Metadata About This Resource Record

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016