The QIIME 2 2024.10 release is now available! Thanks to everyone involved for their hard work!
As a reminder, our next planned QIIME 2 release is scheduled for April 2025 (QIIME 2 2025.4), but please stay tuned for updates.
Check out the QIIME 2 2024.10 docs for details on installing the latest QIIME 2 release, as well as tutorials and other resources. Get in touch on the QIIME 2 Forum if you run into any issues!
Docker Images for all QIIME 2 Distributions are now immediately available upon release day
Updated installation instructions can be found here
Important Announcements
Interface Changes coming in QIIME 2 2025.4
- @jordenrabasco developed some big changes to the
q2-dada2
error model output which will be coming in the 2025.4 release. These include:q2-dada2
denoise-
commands output acollection[DADA2stats]
rather than aDADA2STATS
object Note: this will be a breaking change- New
q2-dada2
actionstats_viz
which will visualize allDADA2stats
in thecollection[DADA2stats]
(denoised stats, and error model stats) as a singular visualization with different tabs for eachDADA2STATs
object.
- Expect changes to
q2-diversity
'salpha-group-significance
andbeta-group-significance
as they will be updated to pipelines usingq2-stats
. Specifically, these visualizers will soon return multiple results which will include statistical outputs and visualizations. Additionally these will require selecting the desired columns to compare, instead of using all available.
Python Versioning
- Moving forward, with each release we will announce what the subsequent Python version will be for the upcoming (n+1) release. For 2025.4, we will stay with python 3.10 (as 3.11 builds are not yet available on Bioconda for certain dependencies) - but we are hoping to bump to >=3.11 for 2025.10 (depending on build availability at the start of the release cycle).
- Target for 2025.4: Python 3.10
- Target for 2025.10: Python >=3.11 (TBD)
Breaking Changes
QIIME 2 Framework
- @Oddant1 disallowed registering
List[<Type>]
as an output of a plugin action, as this was never intended; useCollection[<Type>]
instead. - @Oddant1 corrected
action-executor mappings
to use plugin-name + action-name in the configuration. See below:# previously the toml group was only [parsl.executor_mapping] [parsl.executor_mapping.plugin_name] action_name = "executor_name"
Here are the highlights of the release!
qiime2.org updates
- The QIIME 2 homepage was updated - thanks to the Curvenote team for helping with the refactor! This page is now easier for us to keep up-to-date and to integrate dynamic content, like the Forum Announcements feed.
We are now fully transitioning to the new version of q2view. For the time being, the old version is still being hosted at old-view.qiime2.org, but we are no longer supporting it or linking to it from view.qiime2.org .
- If you have created cool new visualizations in QIIME 2 it is now easy to add them to the q2view gallery and have them show up on q2view in real time! Follow the instructions in the README of the q2view-gallery repo; if we merge your PR, your visualization will be added to the gallery .
- It is now possible to view links to QIIME 2 results hosted on Zenodo. Simply choose to view a "file on Zenodo" and follow the instructions .
@Oddant1 completely rewrote QIIME 2 Library to make it easier to share your plugins and keep them up-to-date and installable . The new version of library is currently in an alpha state, and the old version is in the process of being deprecated and removed.
- If you have a plugin you would like to add to the QIIME 2 Library follow the instructions in the README of the library-plugins repo; if we merge your PR, your plugin will be added to the library .
- The QIIME 2 Forum has added a formal Financial Conflict of Interest Policy and associated Forum Category.
- @lizgehret bumped all QIIME 2 Distributions to Python 3.10
- @lizgehret added q2-stats and q2-vizard to the amplicon distribution
- @lizgehret added q2-metadata and q2templates to the tiny distribution
- @lizgehret added q2-sourmash to the metagenome distribution
- @lizgehret created the all-new Pathogenome Distribution, which contains the following novel plugins:
- q2-amrfinderplus
- q2-viromics
NOTE: These two plugins currently contain limited functionality that is compatible with python 3.10, but will be expanded on during this upcoming development cycle. Stay tuned for more updates and functionality coming in 2025.4!
- @Oddant1 made it so cache validation will now return false on things that aren't directories instead of erroring
- @Oddant1 made parallel pipelines tolerant of mixed artifacts and proxies in a collection
- @Oddant1 made it so actions will now show up with their real names when run in parallel
- @Oddant1 made the highthroughput executor the default instead of threadpool
- @Oddant1 made the QIIME 2 duplicate util detect when
os.link
is unsupported and copy instead - @Oddant1 made it so
Collection[Visualizaion]
usage variables are properly typed. - @lizgehret fixed a in
Artifact.import_data()
where checksums weren't being stored when theview_type
was a sub-class ofFormatBase
- @yoshiki updated the
jupyter server extension
command (formerlyjupyter serverextension
) - @Oddant1 improved support for collections of visualizations and collections in general in the usage API
- @Oddant1 allowed nested pipelines to parallelize properly
- @Oddant1 fixed a that was causing parallelized pipelines to fail trying to
shutil.copytree
a directory that did not exist - @Oddant1 fixed a that caused multiple of the same pipeline run simultaneously to fail when the first pipeline to finish succeeded and removed the recycle pool. A warning will now be raised, but the actions will finish executing as expected
- @gregcaporaso added
qiime.util.get_filepath_from_package
, to standardize accessing files in QIIME 2 packages. This can facilitate, for example, re-using test data in usage examples.
Interface Updates
-
- @Oddant1 added the
--use-cache
flag to all actions not just pipelines - @Oddant1 added plugin level citations to the
--citation
flag on actions - @Oddant1 added information about the current default parallel config to the output of the
qiime info
command - @Oddant1 improved support for collections of visualizations and collections in general in the cli usage API
- @Oddant1 added the
-
- @bebatut added a
bio.tools
xref to rendered tools for QIIME 2, which will add support some new ontology operations (grouping and filtering tools in Galaxy).
- @bebatut added a
Plugin Updates
-
- @SoilRotifer added the
--keeplength
option to force the original alignment length to remain unchanged while adding new sequences. Note, this means that in order to keep the original alignment length unchanged, the newly added sequences will have any insertions deleted.
- @SoilRotifer added the
-
- @colinvwood changed the
denoise-ccs
--p-adapter
parameter to optional to support a wider set of input data.
- @colinvwood changed the
-
- @cherman2 updated
partition_samples_single
to also accept SampleData[JoinedSequenceswithQuality]
- @cherman2 updated
-
- @lizgehret fixed a in the
alpha-rarefaction
visualization (due to an updated version of pandas) that removed all of the sequencing depth data - @lizgehret fixed a in the
bioenv
visualizer that was dropping samples with rows containing any empty values. It now drops sparse columns instead Thanks to @jacobs for reporting this!
- @lizgehret fixed a in the
-
- @lizgehret fixed a in the
faith-pd
output that left#SampleID
as the index name in the resultant alpha diversity vector. Thanks to @Mehrbod_Estaki for reporting this!
- @lizgehret fixed a in the
-
- @gregcaporaso updated
split
to ignore samples that are in the metadata but not the feature table.
- @gregcaporaso updated
-
- @Oddant1 added tests to
volatility
as part of an ongoing effort to ensure that visualizations are rendering correctly
- @Oddant1 added tests to
-
- Many
split
andcombine
actions were transferred into q2-types, facilitating the development of parallel Pipelines for plugin developers. (Learn more about using QIIME 2 in parallel here, and developing parallel Pipelines here.) - @Sann5 added the
ReferenceDB[HMMER]
semantic type to allow for orthologue prediction with a HMMER database through eggNOG in q2-moshpit - @misialq refactored some of the existing
GenomeData
types and added some new types that will be utilized in q2-moshpit as follows:- Removed
SampleData[BLAST6]
in favor of a new type:SampleData[Orthologs]
- Removed
OG
andKEGG
types as they are unused in the current methods. - Added
SampleData[Orthologs]
andGenomeData[Orthologs]
to store orthologs produced by EggNOG+Diamond. - Added
GenomeData[DNASequence]
to represent collections of genome sequences fetched from various sources.
- Removed
- @Vinzent_Risch added
FeatureTable[Normalized]
, the output of a new action that can normalizeFeatureTable[Frequency]
artifacts. This also includes properties that indicate the specific normalization method that was used. - @Vinzent_Risch added a new directory format called
GenomeDataDirectoryFormat
thatGenesDirectoryFormat
,ProteinsDirectoryFormat
,LociDirectoryFormat
andDNASequencesDirectoryFormat
all inherit from
- Many
-
- @lizgehret developed a new suite of visualization tools (included in the amplicon distribution) that can be used to visualize your metadata! Each of these tools include a full test suite that utilizes Selenium to ensure that the visual representation of the data is accurate.
- The following new visualizations are available (with interactive demos of each method available here):
- 2D scatterplot (
qiime vizard scatterplot-2d
)- This visualizer provides an exploratory view of your Metadata - allowing for any two numeric measures to be plotted against each other, with an optional third categorical measure used for color-coding. You can easily toggle between different measures using the drop downs for X, Y, and colorBy.
- heatmap (
qiime vizard heatmap
)- This visualizer generates a heatmap displaying relationships between three Metadata measures. Two of the measures (which can be either categorical or numeric) are mapped to the x and y axes. The third measure (which must be numeric) defines the color gradient of the heatmap, illustrating the intensity or distribution of values across the grid.
- lineplot (
qiime vizard lineplot
)- This visualizer generates a lineplot displaying relationships between two numeric Metadata measures, with an optional third categorical measure for grouping your data into separate lines. If replicates are present within your first numeric measure (plotted on the X-axis), you can select either 'median' or 'mean' for replicate handling, which will create line(s) with the average at each point where replicates are present. All numeric columns present within your Metadata will be available as drop-down options on the Y-axis, but the chosen measure for the X-axis will remain fixed.
- boxplot (
qiime vizard boxplot
)- This visualizer generates boxplot(s) displaying relationships between a numerical Metadata measure and a categorical Metadata measure. Users can choose from three whisker calculation methods: percentile-based (9th/91st), min-max, and Tukey's Interquartile Range (IQR).
- 2D scatterplot (
-
- @ebolyen has finalized a set of methods to manipulate distributions and run permutational pairwise tests (Wilcoxon's Signed Rank Test and the Mann-Whitney U Test). The general purpose of q2-stats is to provide a foundation for manipulating distributions of data with appropriate statistical tests and more opinionated visualizations. These methods are modular to support other plugins utilizing these methods. All that is needed is an appropriate "prep" method to set up the distribution with relevant categories and groups. (see q2-fmt for a great example of this.)
- The following methods are available:
facet-across
- Facet across outer group to create a collection of smaller distributionsfacet-within
- Facet within outer group to create a collection of smaller distributionsmann-whitney-u
- Mann-Whitney U Testmann-whitney-u-facet
- Per-facet Mann-Whitney U Testwilcoxon-srt
- Wilcoxon Signed Rank Testwilcoxon-srt-facet
- Per-facet Wilcoxon Signed Rank Testcollate-stats
- Combine and FDR correct multiple stats result tablesplot-rainclouds
- Creates raincloud plots from any distribution supported by q2-stats.
- Additionally two experimental (and deprecated actions) are available as a preview
alpha-group-significance
- Will eventually be replaced with the regularalpha-group-significance
method inq2-diversity
.prep-alpha-distribution
- A "prep" method which converts alpha diversity into a distribution which q2-stats can work with.
-
- @jphagen added a usage example for
cluster-features-de-novo
.
- @jphagen added a usage example for
-
- @lizgehret updated the
evaluate-classifications
andevaluate-taxonomy
visualizations - they now both use the newly available lineplot from q2-vizard instead of q2-longitudinal's volatility plot
- @lizgehret updated the
Community Plugin Updates
-
- @cherman2 added a to-baseline parameter in
fmt group-timepoints
andfmt cc
. This new parameter will allow users to investigate engraftment by comparing diversity metrics to a baseline microbiome to illustrate microbial shifts away from baseline after FMT. - @cherman2 refactored
fmt peds-heatmap
to encode sample size! This will help users determine which individuals/features have the best engraftment while considering population size of the engraftment! - @cherman2 refactored group-timepoints so that it now accepts an additional group parameter (like a treatment group ). This means you can investigate the engraftment extent of any groups of interest and compare engraftment extent between your groups!
- @cherman2 add an action called
peds-simulation
, this action randomizes the relationships between donors and recipients, to test whether the PEDS score between a recipient and their actual donor issignificantly higher than PEDS scores between other recipients paired with random donors. This method attempts to quantify the extent to which indicator features that are unique to a given donor are transferred to their recipients, as opposed to features that are not indicative of any specific donor.- Note: PEDS Monte Carlo simulation may have dependency issues between samples and the simulated background distribution that can make the test overly conservative. This can be fixed by filtering down to a single timepoint before running this method. Additionally if there are many baseline timepoints, the global test may be too conservative and this can be addressed by filtering out baseline samples prior to running this method.
- @cherman2 added an action called
sample-pprs
(Proportional Persistence of Recipient Strains). This action will help identify which features are persistant in the recipient after FMT intervention.
- @cherman2 added a to-baseline parameter in
-
- @isaiah-ghost and @gregcaporaso released a new plugin, q2-boots, that provides bootstrapped and rarefaction-based (collectively, resampled) alpha and beta diversity analyses, designed to mirror the interface of q2-diversity. This was developed for a Master's project by @isaiah-ghost.
- Some aspects of the q2-boots interface are still subject to change, but you can expect this to eventually migrate into some of the distributions.
- We strongly recommend starting to use the actions in this plugin where you previously would have used the
qiime diversity core-metrics-*
actions. While they are computationally more expensive, the results are more robust.
Documentation Updates
-
- @peterjc fixed some outdated references of our continuous integration system to now accurately reflect our use of Github Actions
- @lizgehret updated the installation instructions to now use a direct URL for the environment file. This removes the need to install
wget
or download the file to your local machine! - @jphagen made improvements to the Cancer Microbiome Intervention Tutorial: creating a section for provenance replay in the tutorial index, adding CLI as the default driver, updating the taxonomic classifier link
-
Using QIIME 2 (https://use.qiime2.org)
- @gregcaporaso started working on the refactored QIIME 2 user documentation, which is built as a JupyterBook and structured according to the Diataxis documentation framework.
- See the Goals and Development Plan for Using QIIME 2 to learn more.
- Over the next few months, existing content will be migrated and new content will developed. Ultimately https://docs.qiime2.org will be retired.
- While Using QIIME 2 is in development, some URLs may change.
-
Developing with QIIME 2 (DWQ2)
- @ebolyen added the Plugin Developer API documentation
- @gregcaporaso added a new section to the Plugin Development Tutorial, Add a Pipeline with parallel computing support.
- @gregcaporaso added another new section to the Plugin Development Tutorial, Integrate Metadata in Actions.
- @lizgehret added a new How-to Guide, Facilitating installation of your plugin for users.
- @lizgehret added another new How-to Guide, [Automate testing of your plugin](Automate testing of your plugin — Developing with QIIME 2]
- @gregcaporaso offered to send stickers to folks who are using DWQ2 in their teaching or learning!
Docker Container Updates
- Recently, we have heard from multiple teams who are interested in teaching QIIME 2 workshops, either to promote their own plugins or to educate on microbiome data analysis generally. Henceforth, with each release we will provide Docker containers designed specifically to aid in this process. The key distinctions of these new workshop containers include default hosting of Jupyter Lab and the installation of several useful command line tools. These containers are separate from the previously provided Docker containers, which will continue to be updated with each release. The workshop containers are available from the following quay URLs:
quay.io/qiime2/<distribution>-workshop:<epoch>
, for example:quay.io/qiime2/amplicon-workshop:2024.10
. To learn more see here. - The following distributions are now available as Docker images (in addition to amplicon and metagenome):
- tiny
- pathogenome