DegenRev: Degeneracy-Based Full Backtranslation Algorithm for Oligopeptide
type: Dataset
description: In order to design microarray oligonucleotides, in the context of new metabolic pathways discovery, it appears that a full backtranslation of oligopeptides is a promising approach. Protein to DNA reverse translation is a time-consuming task that can provide unreasonable quantities of data. This is why most current applications use genetic degenerated code or data mining-based techniques to select the best reverse translation of a short protein sequence called oligopeptide. When the purpose is only to design short oligos it is particularly interesting to have the complete sequences to solve the design problems of enzyme specific oligos for microarrays. In this paper, we revisit existing bioinformatics applications, which bring reverse translation solutions, and we present a new algorithm based on input oligopeptide degeneracy able to efficiently compute a full reverse translation. We propose an implementation with the C programming language and we show its performance statistics on simulated and real biological datasets.
landing page: https://hal.science/hal-00678339
keyword: degeneracy
keyword: full-backtranslation
keyword: infoeu-reposemanticsreport
keyword: infoinfo-dccomputer-science-csdistributed-parallel-and-cluster-computing-csdc
keyword: infoinfo-rocomputer-science-csoperations-research-mathoc
keyword: oligopeptide
keyword: reports
issued: 2026-05-25T01:46:57.169703
modified: 2026-05-25T01:46:57.169708
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

DegenRev: Degeneracy-Based Full Backtranslation Algorithm for Oligopeptide
type: Distribution
format: HTML
access URL: https://hal.science/hal-00678339
issued: 2026-05-25T01:46:57.192168
modified: 2026-05-25T01:46:57.148297