4.6 Article

Web-based design and analysis tools for CRISPR base editing

Journal

BMC BIOINFORMATICS
Volume 19, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/s12859-018-2585-4

Keywords

CRISPR; Base editing; Web-based tool; Genome editing; NGS analysis

Funding

  1. National Research Foundation of Korea (NRF) [2017M3A9G8084539, 2018M3A9H3022412]
  2. Next Generation BioGreen 21 Program [PJ01319301]
  3. Technology Innovation Program - Ministry of Trade, Industry and Energy [20000158]
  4. Korea Healthcare technology RD Project [HI16C1012]
  5. Korea Evaluation Institute of Industrial Technology (KEIT) [20000158] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  6. Ministry of Science & ICT (MSIT), Republic of Korea [IBS-R021-D1-2018-A00] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  7. National Research Foundation of Korea [2018H1A2A1060338, 2017M3A9G8084539] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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BackgroundAs a result of its simplicity and high efficiency, the CRISPR-Cas system has been widely used as a genome editing tool. Recently, CRISPR base editors, which consist of deactivated Cas9 (dCas9) or Cas9 nickase (nCas9) linked with a cytidine or a guanine deaminase, have been developed. Base editing tools will be very useful for gene correction because they can produce highly specific DNA substitutions without the introduction of any donor DNA, but dedicated web-based tools to facilitate the use of such tools have not yet been developed.ResultsWe present two web tools for base editors, named BE-Designer and BE-Analyzer. BE-Designer provides all possible base editor target sequences in a given input DNA sequence with useful information including potential off-target sites. BE-Analyzer, a tool for assessing base editing outcomes from next generation sequencing (NGS) data, provides information about mutations in a table and interactive graphs. Furthermore, because the tool runs client-side, large amounts of targeted deep sequencing data (<1GB) do not need to be uploaded to a server, substantially reducing running time and increasing data security. BE-Designer and BE-Analyzer can be freely accessed at http://www.rgenome.net/be-designer/ and http://www.rgenome.net/be-analyzer/, respectively.ConclusionWe develop two useful web tools to design target sequence (BE-Designer) and to analyze NGS data from experimental results (BE-Analyzer) for CRISPR base editors.

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