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REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments

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Next-generation sequencing (NGS) enables the identification of functional nucleic acid sequences from in vitro selection/evolution experiments and illuminates the evolutionary process at single nucleotide resolution. However, analyzing the vast output… Click to show full abstract

Next-generation sequencing (NGS) enables the identification of functional nucleic acid sequences from in vitro selection/evolution experiments and illuminates the evolutionary process at single nucleotide resolution. However, analyzing the vast output from NGS can be daunting, especially with limited programming skills. No single platform exists that performs all the steps necessary to generate publishable results starting with raw sequence data. We developed REVERSE (Rapid EValuation of Experimental RNA Selection/Evolution) (https://www.reverseserver.org/), a web server that incorporates an integrated computational pipeline through a graphical user interface, which performs both pre-processing and sequence level analyses within minutes. FASTQ files from multiple rounds are quality filtered, dereplicated, and trimmed before being analyzed by two pipelines. The first pipeline counts, sorts, and tracks enrichment of unique sequences and tracks the enrichment of sequence motifs. It also identifies mutational intermediates present in the sequence data that connect two input sequences. The second pipeline sorts similar sequences into clusters and tracks enrichment of peak sequences. It also performs nucleotide conservation analysis on the cluster of choice. Both pipelines generate downloadable high-resolution figures. Collectively, REVERSE is a one stop-solution for the rapid analysis of NGS data obtained from in vitro selection/evolution experiments that obviates the need for computational expertise.

Keywords: evolution experiments; selection evolution; next generation; vitro selection; selection

Journal Title: Nucleic Acids Research
Year Published: 2022

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