Abstract
In vitro evolution is a well-established technique for the discovery of functional RNA and peptides. Increasingly, these experiments are analyzed by high-throughput sequencing (HTS) for both scientific and engineering objectives, but computational analysis of HTS data, particularly for peptide selections, can present a barrier to entry for experimentalists. We introduce EasyDIVER (Easy pre-processing and Dereplication of In Vitro Evolution Reads), a simple, user-friendly pipeline for processing high-throughput sequencing data from in vitro selections and directed evolution experiments. The pipeline takes as input raw, paired-end, demultiplexed Illumina read files. For each sample provided, EasyDIVER outputs a dereplicated list of unique nucleic acid and/or peptide sequences and their count reads.
Original language | English (US) |
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Pages (from-to) | 477-481 |
Number of pages | 5 |
Journal | Journal of Molecular Evolution |
Volume | 88 |
Issue number | 6 |
DOIs | |
State | Published - Aug 1 2020 |
Bibliographical note
Publisher Copyright:© 2020, The Author(s).
Keywords
- Bioinformatics
- High-throughput sequencing
- In vitro evolution
- SELEX
- mRNA display