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EasyDIVER +: An Advanced Tool for Analyzing High Throughput Sequencing Data from In Vitro Evolution of Nucleic Acids or Amino Acids

  • Celia Blanco
  • , Allison Tee
  • , Pramesh Sharma
  • , Matilda S. Newton
  • , Kun Hwa Lee
  • , Samuel E. Erickson
  • , Burckhard Seelig
  • , Irene A. Chen

Research output: Contribution to journalLetterpeer-review

Abstract

In vitro evolution is a powerful technique for identifying functional nucleic acids and peptides, but the analysis of the resulting high-throughput sequencing data poses significant challenges, particularly in peptide selections. Existing bioinformatics tools often lack the specificity needed for this task, leaving researchers to navigate complex datasets with inadequate resources. To address these challenges, we present EasyDIVER +, an enhanced pipeline building on the foundation of the original EasyDIVER tool, which was designed for pre-processing sequencing data. EasyDIVER + not only processes raw, paired-end, demultiplexed Illumina read files but also introduces advanced analytical capabilities, including the calculation of enrichment values for each unique sequence across consecutive selection rounds. Furthermore, EasyDIVER + offers a highly flexible and customizable visualization platform, enabling detailed graphical representations of sequence metrics. These new features mark a significant advance in bioinformatics for peptide and protein data, providing researchers with intuitive tools for comprehensive data analysis and interpretation.

Original languageEnglish (US)
Pages (from-to)229-237
Number of pages9
JournalJournal of Molecular Evolution
Volume93
Issue number2
DOIs
StatePublished - Apr 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

Keywords

  • Bioinformatics
  • High-throughput sequencing
  • In vitro evolution
  • SELEX
  • mRNA display

PubMed: MeSH publication types

  • Letter
  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

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