CRISPR Web-based editing tool
CRISPR-Cas (clustered regularly interspaced short palindromic repeats and CRISPR associated), an immune system in bacteria and archaea that targets the nucleic acids of viruses and plasmids, is currently frequently employed as a genome editing tool due to its ease of use and effectiveness [1–5]. Using its single-guide RNA (sgRNA), the most common endonuclease, type II CRISPR-Cas9, creates DNA double-stranded breaks (DSBs) at a specific spot [6–8]. The double-strand breaks trigger the cell’s own repair systems: error-prone non-homologous end joining (NHEJ) and error-free homology-directed repair (HDR), which result in gene knock-out and knock-in (or gene correction), respectively. HDR occurs less often in mammalian cells than NHEJ , making it more challenging to induce gene repairs such as single nucleotide changes. Moreover, Cas9 may commonly generate DSBs at unintended locations containing sequences identical to the sgRNA [10, 11].
BE-Designer and BE-Analyzer, assist researchers in selecting sgRNAs to target specific DNA sequences and evaluating base editing results using next-generation sequencing (NGS) data. BE designer consist of dCas9  or nCas9  coupled to a cytidine deaminase such as APOBEC1 (apolipoprotein B editing complex 1)  or AID (activation-induced deaminase) . Later, adenine base editors (ABEs) were developed by using tRNA adenine deaminase (TadA), an enzyme that evolved to permit the direct conversion of A to G in DNA . Due to their capacity to create highly exact DNA substitutions, these base editing tools will be very beneficial for gene correction [17–22]. However, to our knowledge, a user-friendly and publicly accessible web-based tool for their design and analysis has not yet been established.
Optionally, BE-Analyzer takes control data from CRISPR-untreated cells and shows the results in an extra nucleotide mutation table, allowing users to compare the data from CRISPR-treated and untreated cells with ease. BE-focused analyzer’s deep sequencing with high sensitivity and accuracy is the most effective way of evaluating base editing effects. BE-Analyzer collects and analyzes specific deep-sequencing data to compute base conversion ratios. BE-Analyzer gives a comprehensive list of all query sequences aligned to a particular wild-type (WT) sequence, allowing users to manually validate mutation patterns. BE-Analyzer operates entirely on a client-side web browser, eliminating the need to upload very large NGS datasets (1 GB) to a server, hence lowering a time-intensive step in genome editing analysis. The BE-Analyzer interface was also created using Django as the backend application. BE-basic Analyzer’s algorithm was created in C++ before being trans-compiled to WebAssembly using Emscripten (http://kripken.github.io/emscripten-site/).
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