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REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments
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 limite...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252737/ https://www.ncbi.nlm.nih.gov/pubmed/35699225 http://dx.doi.org/10.1093/nar/gkac508 |
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author | Weiss, Zoe DasGupta, Saurja |
author_facet | Weiss, Zoe DasGupta, Saurja |
author_sort | Weiss, Zoe |
collection | PubMed |
description | 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. We developed REVERSE (Rapid EValuation of Experimental RNA Selection/Evolution) (https://www.reverseserver.org/), a web server that implements an integrated computational pipeline through a graphical user interface, which performs both pre-processing and detailed sequence level analyses within minutes. Raw FASTQ files are quality-filtered, dereplicated, and trimmed before being analyzed by either of two pipelines. The first pipeline counts, sorts, and tracks enrichment of unique sequences and user-defined 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 and generates a consensus sequence. Both pipelines generate downloadable spreadsheets and 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. |
format | Online Article Text |
id | pubmed-9252737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92527372022-07-05 REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments Weiss, Zoe DasGupta, Saurja Nucleic Acids Res Web Server Issue 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. We developed REVERSE (Rapid EValuation of Experimental RNA Selection/Evolution) (https://www.reverseserver.org/), a web server that implements an integrated computational pipeline through a graphical user interface, which performs both pre-processing and detailed sequence level analyses within minutes. Raw FASTQ files are quality-filtered, dereplicated, and trimmed before being analyzed by either of two pipelines. The first pipeline counts, sorts, and tracks enrichment of unique sequences and user-defined 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 and generates a consensus sequence. Both pipelines generate downloadable spreadsheets and 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. Oxford University Press 2022-06-14 /pmc/articles/PMC9252737/ /pubmed/35699225 http://dx.doi.org/10.1093/nar/gkac508 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server Issue Weiss, Zoe DasGupta, Saurja REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments |
title | REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments |
title_full | REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments |
title_fullStr | REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments |
title_full_unstemmed | REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments |
title_short | REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments |
title_sort | reverse: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252737/ https://www.ncbi.nlm.nih.gov/pubmed/35699225 http://dx.doi.org/10.1093/nar/gkac508 |
work_keys_str_mv | AT weisszoe reverseauserfriendlywebserverforanalyzingnextgenerationsequencingdatafrominvitroselectionevolutionexperiments AT dasguptasaurja reverseauserfriendlywebserverforanalyzingnextgenerationsequencingdatafrominvitroselectionevolutionexperiments |