Abstract

BackgroundStudies on fungal diversity and ecology aim to identify fungi and to investigate their interactions with each other and with the environment. DNA sequence-based tools are essential for these studies because they can speed up the identification process and access greater fungal diversity than traditional methods. The nucleotide sequence encoding for the internal transcribed spacer (ITS) of the nuclear ribosomal RNA has recently been proposed as a standard marker for molecular identification of fungi and evaluation of fungal diversity. However, the analysis of large sets of ITS sequences involves many programs and steps, which makes this task intensive and laborious.FindingsWe developed the web-based pipeline ITScan, which automates the analysis of fungal ITS sequences generated either by Sanger or Next Generation Sequencing (NGS) platforms. Validation was performed using datasets containing ca. 2,000 to 40,000 sequences each.ConclusionsITScan is an online and user-friendly automated pipeline for fungal diversity analysis and identification based on ITS sequences. It speeds up a process which would otherwise be repetitive and time-consuming for users. The ITScan tool and documentation are available at http://evol.rc.unesp.br:8083/itscan.

Highlights

  • Studies on fungal diversity and ecology aim to identify fungi and to investigate their interactions with each other and with the environment

  • ITScan is an online and user-friendly automated pipeline for fungal diversity analysis and identification based on internal transcribed spacer (ITS) sequences

  • It speeds up a process which would otherwise be repetitive and time-consuming for users

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Summary

Conclusions

This work describes an architectural model that can be used with bioinformatics third-party programs. ITScan works with sequences derived from both Sanger and NGS technologies. The pipeline can process single or as many as three datasets to compare distinct biological samples. ITScan includes an user manual and an example dataset. We validated ITScan using datasets containing ca. Using of ITScan does not require computational expertise. Availability and requirements Project name: ITScan Project home page: http://evol.rc.unesp.br:8083/itscan Operating system(s): Platform independent Programming language: Perl, Java Other requirements: Web browser License: ITScan web tool is freely available for all users. ITScan is open source under the GNU GPL license. Pipeline components development: MF, WS and EAA. Manuscript preparation and revision: MF, EAA and MB. All authors read and approved the final manuscript

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Fowler M
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