nf-core/molkart
A pipeline for processing Molecular Cartography data from Resolve Bioscience (combinatorial FISH)
Define which segmentation methods should be used and how.
List of segmentation tools to apply to the image written as a comma separated string: mesmer,cellpose,ilastik would run all three options.
string
mesmer
Minimum area size (in pixels) for segmentation masks.
integer
Maximum area size (in pixels) for segmenation masks.
integer
Cell diameter, if 0 will use the diameter of the training labels used in the model, or with built-in model will estimate diameter for each image.
integer
30
Specifies the channel to be segmented by Cellpose.
integer
Specifies nuclear channel index for Cellpose if using pretrained models such as cyto.
integer
Pretrained Cellpose model to be used for segmentation.
string
cyto
Custom Cellpose model can be provided by the user.
string
Flow error threshold for Cellpose.
number
0.4
Should cells detected near image edges be excluded.
boolean
true
Should flow fields from Cellpose be saved?
boolean
Pixel size in microns for segmentation with Mesmer.
number
0.138
Compartment to be segmented with Mesmer (nuclear, whole-cell)
string
whole-cell
Provide ilastik with a pixel classification project to produce probability maps.
string
Provide ilastik with a multicut project to create segmentation masks.
string
Defines gridsize for Mindagap and should contrast adjustment be applied and how.
Box size used by Mindagap to overcome gaps, a larger number allows to overcome large gaps, but results in less fine details in the filled grid.
integer
3
Loop number performed by Mindagap. Lower values are faster, but the result is less good.
integer
40
Contrast limit for localized changes in contrast by CLAHE.
number
0.01
Number of histogram bins to be used by CLAHE.
integer
256
Pixel size to be used by CLAHE.
number
0.138
Kernel size to be used by CLAHE.
number
25
Specifies whether contrast-limited adaptive histogram equalization should be skipped.
boolean
Tile size (distance between gridlines) for Mindagap.
integer
2144
Should Mindagap blur area around grid for smoother transitions between tiles with different exposures.
boolean
Tile size used for pyramid generation (must be divisible by 16).
integer
1072
Define whether a cropped training set for segmentation methods should be created.
Create subset for training a segmentation model.
boolean
Indicates crop size on x axis.
integer
400
Indicates crop size on y axis.
integer
400
Number of crops you would like to extract.
integer
4
Indicates fraction of pixels per crop above global threshold to ensure tissue and not only background is selected.
number
0.4
Define where the pipeline should find input data and save output data.
Path to comma-separated file containing information about the samples in the experiment.
string
^\S+\.csv$
You will need to create a design file with information about the samples in your experiment before running the pipeline. Use this parameter to specify its location. It has to be a comma-separated file with 3 columns, and a header row. See usage docs.
The output directory where the results will be saved. You have to use absolute paths to storage on Cloud infrastructure.
string
Email address for completion summary.
string
^([a-zA-Z0-9_\-\.]+)@([a-zA-Z0-9_\-\.]+)\.([a-zA-Z]{2,5})$
Set this parameter to your e-mail address to get a summary e-mail with details of the run sent to you when the workflow exits. If set in your user config file (~/.nextflow/config
) then you don't need to specify this on the command line for every run.
MultiQC report title. Printed as page header, used for filename if not otherwise specified.
string
Parameters used to describe centralised config profiles. These should not be edited.
Git commit id for Institutional configs.
string
master
Base directory for Institutional configs.
string
https://raw.githubusercontent.com/nf-core/configs/master
If you're running offline, Nextflow will not be able to fetch the institutional config files from the internet. If you don't need them, then this is not a problem. If you do need them, you should download the files from the repo and tell Nextflow where to find them with this parameter.
Institutional config name.
string
Institutional config description.
string
Institutional config contact information.
string
Institutional config URL link.
string
Set the top limit for requested resources for any single job.
Maximum number of CPUs that can be requested for any single job.
integer
16
Use to set an upper-limit for the CPU requirement for each process. Should be an integer e.g. --max_cpus 1
Maximum amount of memory that can be requested for any single job.
string
128.GB
^\d+(\.\d+)?\.?\s*(K|M|G|T)?B$
Use to set an upper-limit for the memory requirement for each process. Should be a string in the format integer-unit e.g. --max_memory '8.GB'
Maximum amount of time that can be requested for any single job.
string
240.h
^(\d+\.?\s*(s|m|h|d|day)\s*)+$
Use to set an upper-limit for the time requirement for each process. Should be a string in the format integer-unit e.g. --max_time '2.h'
Less common options for the pipeline, typically set in a config file.
Display help text.
boolean
Display version and exit.
boolean
Method used to save pipeline results to output directory.
string
The Nextflow publishDir
option specifies which intermediate files should be saved to the output directory. This option tells the pipeline what method should be used to move these files. See Nextflow docs for details.
Email address for completion summary, only when pipeline fails.
string
^([a-zA-Z0-9_\-\.]+)@([a-zA-Z0-9_\-\.]+)\.([a-zA-Z]{2,5})$
An email address to send a summary email to when the pipeline is completed - ONLY sent if the pipeline does not exit successfully.
Send plain-text email instead of HTML.
boolean
File size limit when attaching MultiQC reports to summary emails.
string
25.MB
^\d+(\.\d+)?\.?\s*(K|M|G|T)?B$
Do not use coloured log outputs.
boolean
Incoming hook URL for messaging service
string
Incoming hook URL for messaging service. Currently, MS Teams and Slack are supported.
Custom config file to supply to MultiQC.
string
Custom logo file to supply to MultiQC. File name must also be set in the MultiQC config file
string
Custom MultiQC yaml file containing HTML including a methods description.
string
Boolean whether to validate parameters against the schema at runtime
boolean
true
Show all params when using --help
boolean
By default, parameters set as hidden in the schema are not shown on the command line when a user runs with --help
. Specifying this option will tell the pipeline to show all parameters.
Validation of parameters fails when an unrecognised parameter is found.
boolean
By default, when an unrecognised parameter is found, it returns a warinig.
Validation of parameters in lenient more.
boolean
Allows string values that are parseable as numbers or booleans. For further information see JSONSchema docs.