A software pipeline for processing and identification of fungal ITS sequences
2009
Background Fungi from environmental samples are typically identified to species level through DNA sequencing of the nuclear ribosomal
internal transcribed spacer(ITS) region for use in BLAST-based similarity searches in the International Nucleotide
Sequence Databases. These searches are time-consuming and regularly require a significant amount of manual intervention and complementary analyses. We here present software – in the form of an identification pipeline for large sets of fungal ITS sequences – developed to automate the BLAST process and several additional analysis steps. The performance of the pipeline was evaluated on a dataset of 350 ITS sequences from fungi growing as
epiphyteson
building material.
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