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