title: parmigene--a parallel R package for mutual information estimation and gene network reconstruction.
abstract: BACKGROUND
  Inferring large transcriptional networks using mutual information has been shown to be effective in several experimental setup. Unfortunately, this approach has two main drawbacks: (i) several mutual information estimators are prone to biases and (ii) available software still has large computational costs when processing thousand of genes.
  
  
  RESULTS
  Here, we present parmigene (PARallel Mutual Information estimation for GEne NEtwork reconstruction), an R package that tries to fill the above gaps. It implements a mutual information estimator based on k-nearest neighbor distances that is minimally biased with respect to the other methods and uses a parallel computing paradigm to reconstruct gene regulatory networks. We test parmigene on in silico and real data. We show that parmigene gives more precise results than existing softwares with strikingly less computational costs.
  
  
  METHODS
  The parmigene package is available on the CRAN network at http://cran.r-project.org/web/packages/.
  
  
  BACKGROUND
  chiara.romualdi@unipd.it
authors.affiliation: Department of Statistical Sciences, University of Padova, 35121 Padova, Italy.
authors.forename: Gabriele
authors.initials: G
authors.lastname: Sales
authors.forename: Chiara
authors.initials: C
authors.lastname: Romualdi
mesh_terms: D000465:Algorithms; D001402:B-Lymphocytes / Q000378:metabolism; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks; D016259:Genes, myc; D006801:Humans; D007091:Image Processing, Computer-Assisted; D012044:Regression Analysis; D012984:Software