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FASTAptameR 2.0:用于组合序列选择的网络工具。

FASTAptameR 2.0: A web tool for combinatorial sequence selections.

作者信息

Kramer Skyler T, Gruenke Paige R, Alam Khalid K, Xu Dong, Burke Donald H

机构信息

MU Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.

Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.

出版信息

Mol Ther Nucleic Acids. 2022 Aug 24;29:862-870. doi: 10.1016/j.omtn.2022.08.030. eCollection 2022 Sep 13.

Abstract

Combinatorial selections are powerful strategies for identifying biopolymers with specific biological, biomedical, or chemical characteristics. Unfortunately, most available software tools for high-throughput sequencing analysis have high entrance barriers for many users because they require extensive programming expertise. FASTAptameR 2.0 is an R-based reimplementation of FASTAptamer designed to minimize this barrier while maintaining the ability to answer complex sequence-level and population-level questions. This open-source toolkit features a user-friendly web tool, interactive graphics, up to 100 times faster clustering, an expanded module set, and an extensive user guide. FASTAptameR 2.0 accepts diverse input polymer types and can be applied to any sequence-encoded selection.

摘要

组合筛选是识别具有特定生物学、生物医学或化学特性的生物聚合物的有力策略。不幸的是,大多数现有的高通量测序分析软件工具对许多用户来说门槛很高,因为它们需要广泛的编程专业知识。FASTAptameR 2.0是基于R语言对FASTAptamer的重新实现,旨在最大限度地降低这一门槛,同时保持回答复杂序列水平和群体水平问题的能力。这个开源工具包具有用户友好的网络工具、交互式图形、快达100倍的聚类速度、扩展的模块集以及详尽的用户指南。FASTAptameR 2.0接受多种输入聚合物类型,可应用于任何序列编码的筛选。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fbe/9464650/36af1e450f1b/fx1.jpg

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