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kbestak committed Feb 26, 2025
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Expand Up @@ -5,309 +5,24 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

## 1.1.0

### Credits
### Added

Contributions to the release:
- [PR #78](https://github.com/nf-core/molkart/pull/78) - Allow for Mindagap to be skipped using `skip_mindagap` parameter (@kbestak)
- [PR #81](https://github.com/nf-core/molkart/pull/81) - Add Stardist as a segmentation method (@kbestak)

- [Kresimir Bestak](https://github.com/kbestak)
- [Florian Wuennemann](https://github.com/flowuenne)
### Changed

### Enhancements & fixes
- [PR #71](https://github.com/nf-core/molkart/pull/71), [PR #88](https://github.com/nf-core/molkart/pull/88), [PR #94](https://github.com/nf-core/molkart/pull/94) - template updates from 2.11.1 to 3.2.0 (@kbestak)
- [PR #98](https://github.com/nf-core/molkart/pull/98) - Update all nf-core modules (@FloWuenne)
- [PR #99](https://github.com/nf-core/molkart/pull/99) - Clean up code to adhere to language server standards (@kbestak)
- [PR #100](https://github.com/nf-core/molkart/pull/100) - Added author and license information to all bin scripts (@FloWuenne)
- [PR #101](https://github.com/nf-core/molkart/pull/101) - Updated manifest and author information (@FloWuenne)
- [PR #102](https://github.com/nf-core/molkart/pull/102) - Updated documentation (@kbestak)

- [PR #71](https://github.com/nf-core/molkart/pull/71), [PR #88](https://github.com/nf-core/molkart/pull/88), [PR #94](https://github.com/nf-core/molkart/pull/94) - template updates from 2.11.1 to 3.2.0
- [PR #76](https://github.com/nf-core/molkart/pull/76) - Fix issue with custom content in MultiQC output
- [PR #78](https://github.com/nf-core/molkart/pull/78) - Allow for Mindagap to be skipped
- [PR #81](https://github.com/nf-core/molkart/pull/81) - Add Stardist as a segmentation method
- [PR #98](https://github.com/nf-core/molkart/pull/98) - Update all nf-core modules
- [PR #99](https://github.com/nf-core/molkart/pull/99) - Clean up code to adhere to language server standards
- [PR #100](https://github.com/nf-core/molkart/pull/100) - Added author and license information to all bin scripts
- [PR #101](https://github.com/nf-core/molkart/pull/101) - Updated manifest and author information
- [PR #102](https://github.com/nf-core/molkart/pull/102) - Updated documentation
### Fixed

### Parameters
- [PR #76](https://github.com/nf-core/molkart/pull/76) - Fix issue with custom content in MultiQC output (@kbestak)

| Old parameter | New parameter |
| ------------- | ---------------------- |
| | `--stardist_model` |
| | `--stardist_n_tiles_x` |
| | `--stardist_n_tiles_y` |
| | `--skip_mindagap` |
## 1.0.0

## v1.0.1dev - [2024.01.16]

### `Added`

- mindagap_boxsize, mindagap_loopnum, mindagap_edges parameters
- updated mindagap version and adapted molkart.nf and modules.config to match updated mindagap module version
- CI testing with nf-test
- updated base.config to account for ilastik's high memory use
- updated metromap

## v1.0.1dev - [2024.01.08]

### `Fixed`

- Fixed a bug in maskfilter for calculating the number of filtered objects.
- Changed naming of columns in multiqc table for filtered cells

## v1.0.1dev - [2024.01.06]

### `Fixed`

- Updated version numbers for all local modules to molkart-local container v0.0.4 due to a bug in version v0.0.3 that prevented the modules to be properly run with singularity.

## v1.0.1dev - [2024.01.04]

### `Added`

- Added createanndata process to workflow. This process will generate a spatial anndata object from the spot2cell output. The anndata object will be written to /anndata in the output folder.
- added tests for createanndata

### `Fixed`

- Updated version numbers for all local modules using the molkart-local container to v0.0.3
- spot2cell - removed tag, output name now required, output name defined in modules.config
- output documentation for create training subset
- formatting in local modules

## v1.0.1dev - [2023.12.19]

### `Fixed`

Fixed parameter specification for Maskfilter in modules.config, where both min and max area params in python were passed as min_area.

## v1.0.1dev - [2023.12.18]

### `Fixed`

- Changed file prefix used in CLAHE to prevent file naming collisions if user used dots in filenames
- Changed label for CLAHE and MASKFILTER to process_medium to make them pass first try on real life datasets

## v1.0.1dev - [2023.12.15]

### `Added`

- Added config file for full test dataset

## v1.0.1dev - [2023.12.11]

Crop overview is provided to Multiqc - now when create_training_subset is run, multiqc and customdumpsoftwareversions are also run.

### `Added`

- removed CropSummary.txt from published outputs - it gets collected at multiqc step and published there
- moved crop_overview.png to MultiQC folder
- gitpod container is nf-core/gitpod:dev instead of latest to include new versions of nf-tools and nf-test
- MOLKARTQCPNG process to add name to png for multiqc report, and combine if multiple samples are processed

## v1.0.1dev - [2023.12.07]

Local module revamp - all should use the same Docker image to save space.

### `Added`

- renamed CREATEILASTIKTRAININGSUBSET to CROPHDF5
- renamed TIFFTRAININGSUBSET to CROPTIFF
- local modules now use the ghcr.io/schapirolabor/molkart-local:v0.0.1 container
- CREATE_STACK when clause - also applied the size check logic in molkart.nf
- Added crop_hdf5.py script instead of using mcmicro-ilastik container
- pattern to only return cropped images and overview (not versions or full hdf5 image)
- clahe does not use aicsimageio anymore
- create stack outputs a pyramidal tif (Palom)
- updated mesmer module - accordingly added prefix logic (and for maskfilter)

## v1.0.1dev - [2023.12.05]

Added MASKFILTER module.

### `Added`

- MASKFILTER module with respective script, parameters, qc measures that are passed to MOLKARTQC and MULTIQC
- renamed molcart_qc to MOLKARTQC
- versions to main local modules (MOLKARTQC, SPOT2CELL)
- CREATE_STACK when clause (so that it does not show in the progress when it doesn't run)
- comments in molkart.nf for clarity

### `Fixed`

- collect_QC average area is now rounded
- prefix handling in some modules

### `Removed`

- SAMPLESHEETCHECK subworkflow and Python script

## v1.0.1dev - [2023.12.02]

Replaced local module for mindagap/duplicatefinder with nf-core module.

### `Added`

- installed mindagap/duplicatefinder via nf-core tools

### `Removed`

- removed local mindagap_duplicatefinder.nf in local modules

## v1.0.1dev - [2023.11.30.]

Changes to clahe - more nf-core compliant, script change, versions, updated tests.

### `Added`

- Clahe now outputs versions
- --clahe_pyramid_tile parameter (hidden)

### `Fixed`

- clahe local module now follows nf-core guidelines with output naming defined through ext.prefix
- In all cases, the same writer will be used for clahe now
- Fixed CLAHE metadata
- renamed process from CLAHE_DASK to CLAHE
- renamed tilesize parameter to mindagap_tilesize for clarity

### `Removed`

- clahe_skip_pyramid parameter

## v1.0.1dev - [2023.11.28.]

Fixed file naming schema for mindagap and spot2cell. If only mesmer is used for segmentation, create stack does not have to be run.

### `Fixed`

- Mindagap outputs, in case the filenames were the same, would overwrite each other.
- spot2cell outputs, in case the filenames and segmentation method were the same, would overwrite each other.
- removed hardcoded memory requirement for CREATEILASTIKTRAININGSUBSET
- if only mesmer is used for segmentation, create stack does not have to be run.

## v1.0.1dev - [2023.11.24.]

Added first nf-tests for the pipeline.

### `Added`

- nf-test for 3 runs
- main.nf where the input only has the nuclear channel (does not run clahe or ilastik)
- main.nf where the input has both nuclear and membrane image (runs clahe, does not run ilastik)
- main.nf where the input only has the nuclear channel (does not run clahe), creates training subset

## v1.0.1dev - [2023.11.15]

Upgraded workflow, fixed multisample cellpose segmentation with custom model. Added options necessary to make testing work on small images.

### `Added`

- white background in metromap
- clahe_skip_pyramid parameter to skip pyramid generation in the clahe step - necessary for smaller data

### `Fixed`

- Cellpose custom model functions with multiple samples now.

## v1.0.1dev - [2023.11.13]

Added documentation - usage.md and output.md

### `Added`

- usage.md documentation
- output.md documentation
- segmentation outputs are all moved to a segmentation folder.
- updated nf-core module versions
- CITATIONS.md updated
- README.md updated
- WorkflowMolkart.groovy updated to return citations if tools are used (added commas)

## v1.0.1dev - [2023.25.10]

Implemented the tilesize parameter for Mindagap_mindagap and mindagap_duplicatefinder so that smaller representative images can be used as test.

### `Added`

- tilesize param
- tilesize passing to mindagap and duplicatefinder in modules.config
-

### `Fixed`

### `Dependencies`

### `Deprecated`

## v1.0.1dev - [2023.23.10]

- Replace `PROJECT_SPOTS` and `MCQUANT` modules with spot2cells. This new (for now local) module reduces the RAM requirements drastically, because it doesn't create a multi-channel stack for the spots. Spots are assigned by looking up cell IDs at x,y, positions and iterating over the deduplicated spots table.
- Added process labels to many modules to fix linting warnings
- Added meta map to molcart_qc output to remove linting warning -- adjusted script for multiqc input accordingly
- Added duplicated spots counts to collect_qc.py and multiqc_config.yml so that they also get counted.
- Added tag option to spot2cell so that the output names with same sample id and different segmentation methods can be differentiated (they were overwriting each other previously)
- removed project spots and mcquant from modules.config
- changed pattern for molcart_qc as it was not matching the files (removed {})
- added meta value to segmethod input in molcart_qc
- spot counts are now int values
- QC metrics rounded to 2 decimals

## v1.0.1dev - [2023.22.10]

Replaced the `clahe` param with `skip_clahe` so that the default value for running CLAHE is `False`.

### `Added`

- skip_clahe param (default False)
- removed clahe param
- adjusted workflow to check the params.skip_clahe value instead of the params.clahe
- adjusted the ext.when in modules.config

### `Fixed`

### `Dependencies`

### `Deprecated`

## v1.0dev - [2023.18.10]

Added barebones version of multiqc output.

### `Added`

- emit value for png overview for createtrainingtiff
- molcart-qc: added sampleid-segmentation tag as sample id, as multiqc was only showing the second row if sample id is same - can this be fixed to unique row?
- input for multiqc are the csv files produced by molcart qc

### `Fixed`

### `Dependencies`

### `Deprecated`

## v1.0.1dev - [2023.12.10]

Molkart adapted to most nf-core standards with optional parameters, multiple segmentation options, as well as membrane channel handling. Started work on creating training subset functionality.

### `Added`

- parameters for pipeline execution
- ext.args logic for almost all modules with external parameters
- channel logic for membrane handling
- create stack process if membrane image present for Cellpose
- optional clahe
- started work on create subset functionality

### `Fixed`

### `Dependencies`

### `Deprecated`

## v1.0dev - [date]

Initial release of nf-core/molkart, created with the [nf-core](https://nf-co.re/) template.

### `Added`

### `Fixed`

### `Dependencies`

### `Deprecated`
First release of nf-core/molkart.

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