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.

体外进化是发现功能性 RNA 和肽的成熟技术。为了科学和工程目标，这些实验越来越多地通过高通量测序 (HTS) 进行分析，但 HTS 数据的计算分析，特别是肽选择，可能会给实验者带来进入障碍。我们介绍 EasyDIVER（Easy pre-processing and Dereplication of I n V itro E volution Reads），一种简单、用户友好的管道，用于处理来自体外选择和定向进化实验的高通量测序数据。该管道将​​原始、双端、多路分解的 Illumina 读取文件作为输入。对于提供的每个样本，EasyDIVER 输出一个去重复的独特核酸和/或肽序列及其计数读数的列表。