A software pipeline for processing and identification of fungal ITS sequences

doi:10.1186/1751-0473-4-1

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Volume 4

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Nilsson RH
Bok G
Ryberg M
Kristiansson E
Hallenberg N

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Bok G
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Hallenberg N
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Software review

A software pipeline for processing and identification of fungal ITS sequences

R Henrik Nilsson¹ , Gunilla Bok¹ , Martin Ryberg¹ , Erik Kristiansson² and Nils Hallenberg¹

¹University of Gothenburg, Department of Plant and Environmental Sciences, Box 461, 405 30 Göteborg, Sweden

²The Sahlgrenska Academy at the University of Gothenburg, Department of Neuroscience and Physiology, Box 434, 405 30 Göteborg, Sweden

author email corresponding author email

Source Code for Biology and Medicine 2009, 4:1doi:10.1186/1751-0473-4-1


Published:	15 January 2009

Additional files

Additional file 1:

The software pipeline. The software pipeline described in the paper, together with its documentation, installation instructions, and the seed of a BLAST database.

Format: ZIP Size: 16.6MB Download file

Additional file 2:

The evaluation dataset. The evaluation dataset (in the FASTA format) and the results of its analysis (a summary in the OpenOffice/Excel spreadsheet format with multiple alignments in the ALN (Clustal W) format and a list of the species recovered in the PDF format).

Format: ZIP Size: 1.7MB Download file