cff-version: 1.2.0
message: "If you use this software or the trained models, please cite the associated publication."
type: software
title: "5' and 3' UTR translational regulatory features: ML pipeline and trained models"
abstract: >
  Machine learning pipeline for discovering translation regulatory features
  and cross-UTR interactions from TIF-seq2 transcript isoform data, developed
  for the manuscript "Discovery of Translation Regulatory Features and
  Cross-UTR Interactions through Precise Mapping of mRNA Ends and Machine
  Learning."
authors:
  - family-names: Ogran
    given-names: Ariel
    affiliation: "Dept. of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 7610001, Israel"
  - family-names: Green
    given-names: Joseph
    affiliation: "Dept. of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 7610001, Israel"
  - family-names: Hayat
    given-names: Daniel
    affiliation: "Dept. of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 7610001, Israel"
  - family-names: Sinha
    given-names: Sansrity
    affiliation: "Dept. of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 7610001, Israel"
  - family-names: Avinoam
    given-names: Ori
    affiliation: "Dept. of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 7610001, Israel"
  - family-names: Azuri
    given-names: Ido
    affiliation: "Dept. of Life Sciences Core Facilities, Bioinformatics Unit, The Weizmann Institute of Science, Rehovot 7610001, Israel"
  - family-names: Dikstein
    given-names: Rivka
    email: rivka.dikstein@weizmann.ac.il
    affiliation: "Dept. of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 7610001, Israel"
repository-code: "https://github.com/ArielOgran82/5-and-3-UTRs-translational-regulatory-features"
license: MIT
version: "1.1"
date-released: "2026-08-30"
# doi: "10.5281/zenodo.XXXXXXX"  # fill in once the Zenodo release is created (see docs)
# preferred-citation:  # fill in once the manuscript has a DOI/journal record
#   type: article
#   title: "Discovery of Translation Regulatory Features and Cross-UTR Interactions through Precise Mapping of mRNA Ends and Machine Learning"
#   journal: "Nucleic Acids Research"
#   year: 2026