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Published September 2, 2016 | Version v1.0

entrez_qiime: entrez_qiime v1.0

Authors/Creators

  • 1. Princeton University

Description

This is a release of a Python script (entrez_qiime.py) and accompanying guidelines (entrez_qiime.pdf) for a workflow to take an input FASTA file generated from the NCBI database (e.g. through an Entrez search) and generate the files needed to BLAST metabarcode data against those sequences using the QIIME script assign_taxonomy.py.

These files have been available from the author Chris Baker essentially unchanged since at least October 2012. This release in September 2016 does not mark any change to the operation of the script, or to the content of the workflow, but rather is intended to provide a stable version for citation and development purposes. No attempt has been made to update the script or accompanying guidelines since 2012.

The Python script included in this release (v1.0) relies on the NCBI's use of GI numbers, which will shortly be phased out in favour of accession numbers (https://www.ncbi.nlm.nih.gov/news/03-02-2016-phase-out-of-GI-numbers/). When this change takes place, v1.0 will no longer function correctly with new files downloaded from the NCBI (but of course will continue to work fine with any files downloaded previously). A revised version of the code and workflow guidelines will be developed and made available in due course.

Files

entrez_qiime-v1.0.zip

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