From cdec6dee0f963480ae7e1f1de1e34c80a6811a3c Mon Sep 17 00:00:00 2001
From: Matthew Dillon
Date: Wed, 21 Apr 2021 14:06:14 -0700
Subject: [PATCH] maint: 2021.4 final prep (#506)
---
source/data-resources.rst | 13 +++++++------
source/install/native.rst | 18 +++++++++---------
2 files changed, 16 insertions(+), 15 deletions(-)
diff --git a/source/data-resources.rst b/source/data-resources.rst
index ea398286..abf34733 100644
--- a/source/data-resources.rst
+++ b/source/data-resources.rst
@@ -10,11 +10,13 @@ Taxonomy classifiers for use with q2-feature-classifier
Naive Bayes classifiers trained on:
-- `Silva 138 99% OTUs full-length sequences `_ (MD5: ``fddefff8bfa2bbfa08b9cad36bcdf709``)
-- `Silva 138 99% OTUs from 515F/806R region of sequences `_ (MD5: ``28105eb0f1256bf38b9bb310c701dc4e``)
-- `Greengenes 13_8 99% OTUs full-length sequences `_ (MD5: ``03078d15b265f3d2d73ce97661e370b1``)
-- `Greengenes 13_8 99% OTUs from 515F/806R region of sequences `_ (MD5: ``682be39339ef36a622b363b8ee2ff88b``)
+.. TODO: uncomment when ready
+.. - `Silva 138 99% OTUs full-length sequences `_ (MD5: ``TBD``)
+.. - `Silva 138 99% OTUs from 515F/806R region of sequences `_ (MD5: ``TBD``)
+- `Greengenes 13_8 99% OTUs full-length sequences `_ (MD5: ``6bbc9b3f2f9b51d663063a7979dd95f1``)
+- `Greengenes 13_8 99% OTUs from 515F/806R region of sequences `_ (MD5: ``9e82e8969303b3a86ac941ceafeeac86``)
+- Silva classifiers coming soon
Please cite the following references if you use any of these pre-trained classifiers:
@@ -22,8 +24,7 @@ Please cite the following references if you use any of these pre-trained classif
- Bokulich, N.A., Kaehler, B.D., Rideout, J.R. et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome 6, 90 (2018). https://doi.org/10.1186/s40168-018-0470-z
- See the `SILVA website `_ and the latest `Greengenes publication `_ for the latest citation information for these reference databases.
-Please note, these classifiers were trained using scikit-learn 0.23.1, and therefore can only be used with scikit-learn 0.23.1. If you observe errors related to scikit-learn version mismatches, please ensure you are using the pretrained-classifiers that were published with the release of QIIME 2 you are using.
-
+Please note, these classifiers were trained using scikit-learn 0.24.1, and therefore can only be used with scikit-learn 0.24.1. If you observe errors related to scikit-learn version mismatches, please ensure you are using the pretrained-classifiers that were published with the release of QIIME 2 you are using.
.. _`marker gene db`:
diff --git a/source/install/native.rst b/source/install/native.rst
index 2af1c2a2..bad3a7b4 100644
--- a/source/install/native.rst
+++ b/source/install/native.rst
@@ -67,23 +67,23 @@ like for the environment. In this example, we'll name the environment
-
wget https://data.qiime2.org/distro/core/qiime2-2021.4-py36-osx-conda.yml
- conda env create -n qiime2-2021.4 --file qiime2-2021.4-py36-osx-conda.yml
+ wget https://data.qiime2.org/distro/core/qiime2-2021.4-py38-osx-conda.yml
+ conda env create -n qiime2-2021.4 --file qiime2-2021.4-py38-osx-conda.yml
# OPTIONAL CLEANUP
- rm qiime2-2021.4-py36-osx-conda.yml
+ rm qiime2-2021.4-py38-osx-conda.yml
-
wget https://data.qiime2.org/distro/core/qiime2-2021.4-py36-linux-conda.yml
- conda env create -n qiime2-2021.4 --file qiime2-2021.4-py36-linux-conda.yml
+ wget https://data.qiime2.org/distro/core/qiime2-2021.4-py38-linux-conda.yml
+ conda env create -n qiime2-2021.4 --file qiime2-2021.4-py38-linux-conda.yml
# OPTIONAL CLEANUP
- rm qiime2-2021.4-py36-linux-conda.yml
+ rm qiime2-2021.4-py38-linux-conda.yml
# These instructions are identical to the Linux (64-bit) instructions
- wget https://data.qiime2.org/distro/core/qiime2-2021.4-py36-linux-conda.yml
- conda env create -n qiime2-2021.4 --file qiime2-2021.4-py36-linux-conda.yml
+ wget https://data.qiime2.org/distro/core/qiime2-2021.4-py38-linux-conda.yml
+ conda env create -n qiime2-2021.4 --file qiime2-2021.4-py38-linux-conda.yml
# OPTIONAL CLEANUP
- rm qiime2-2021.4-py36-linux-conda.yml
+ rm qiime2-2021.4-py38-linux-conda.yml