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comprna/reorientexpress: first release

angelrure; Akanksha2511; Eduardo Eyras


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{
  "description": "<p>This is the first release of ReorientExpress,&nbsp;a program to create, test and apply models to predict the 5&#39;-to-3&#39; orientation of long-reads from cDNA sequencing with Nanopore or PacBio using deep neural networks for samples without a genome or a transcriptome reference.&nbsp;ReorientExpress implements two Deep Neural Network models: a Multi-Layer Perceptron (MLP) and a Convolutional Neural Network (CNN), and it uses as training input a transcriptome annotation from any species or any other fasta/fasq file of RNA/cDNA sequences for which the orientation is known. Training or testing data can thus be experimental data, annotation data or also mapped reads (providing the corresponding PAF file).</p>", 
  "license": "", 
  "creator": [
    {
      "@type": "Person", 
      "name": "angelrure"
    }, 
    {
      "@type": "Person", 
      "name": "Akanksha2511"
    }, 
    {
      "affiliation": "ICREA / IMIM / EMBL", 
      "@type": "Person", 
      "name": "Eduardo Eyras"
    }
  ], 
  "url": "https://zenodo.org/record/3528433", 
  "codeRepository": "https://github.com/comprna/reorientexpress/tree/v1.0.0", 
  "datePublished": "2019-11-05", 
  "version": "v1.0.0", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3528433", 
  "@id": "https://doi.org/10.5281/zenodo.3528433", 
  "@type": "SoftwareSourceCode", 
  "name": "comprna/reorientexpress: first release"
}
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