AUTHOR=Alves Sandy Ingrid Aguiar , Ferreira Victor Benedito Costa , Dantas Carlos Willian Dias , Silva Artur Luiz da Costa da , Ramos Rommel Thiago Jucá 

TITLE=EasySSR: a user-friendly web application with full command-line features for large-scale batch microsatellite mining and samples comparison

JOURNAL=Frontiers in Genetics

VOLUME=14

YEAR=2023

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2023.1228552

DOI=10.3389/fgene.2023.1228552

ISSN=1664-8021

ABSTRACT=<p>Microsatellites, also known as SSRs or STRs, are polymorphic DNA regions with tandem repetitions of a nucleotide motif of size 1–6 base pairs with a broad range of applications in many fields, such as comparative genomics, molecular biology, and forensics. However, the majority of researchers do not have computational training and struggle while running command-line tools or very limited web tools for their SSR research, spending a considerable amount of time learning how to execute the software and conducting the post-processing data tabulation in other tools or manually—time that could be used directly in data analysis. We present EasySSR, a user-friendly web tool with command-line full functionality, designed for practical use in batch identifying and comparing SSRs in sequences, draft, or complete genomes, not requiring previous bioinformatic skills to run. EasySSR requires only a FASTA and an optional GENBANK file of one or more genomes to identify and compare STRs. The tool can automatically analyze and compare SSRs in whole genomes, convert GenBank to PTT files, identify perfect and imperfect SSRs and coding and non-coding regions, compare their frequencies, abundancy, motifs, flanking sequences, and iterations, producing many outputs ready for download such as PTT files, interactive charts, and Excel tables, giving the user the data ready for further analysis in minutes. EasySSR was implemented as a web application, which can be executed from any browser and is available for free at <ext-link ext-link-type="uri" xlink:href="https://computationalbiology.ufpa.br/easyssr/" xmlns:xlink="http://www.w3.org/1999/xlink">https://computationalbiology.ufpa.br/easyssr/</ext-link>. Tutorials, usage notes, and download links to the source code can be found at <ext-link ext-link-type="uri" xlink:href="https://github.com/engbiopct/EasySSR" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/engbiopct/EasySSR</ext-link>.</p>