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EasyDIVER: A Pipeline for Assembling and Counting High-Throughput Sequencing Data from In Vitro Evolution of Nucleic Acids or Peptides

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 selec...

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Detalles Bibliográficos
Autores principales: Blanco, Celia, Verbanic, Samuel, Seelig, Burckhard, Chen, Irene A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324411/
https://www.ncbi.nlm.nih.gov/pubmed/32529275
http://dx.doi.org/10.1007/s00239-020-09954-0
Descripción
Sumario: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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00239-020-09954-0) contains supplementary material, which is available to authorized users.