sequana-pipetools 1.0.5

Description:

sequanapipetools 1.0.5

Overview:
A set of tools to help building or using Sequana pipelines

Status:
Production

Issues:
Please fill a report on github

Python version:
Python 3.8, 3.9, 3.10, 3.11

Citation:
Cokelaer et al, (2017), ‘Sequana’: a Set of Snakemake NGS pipelines, Journal of Open Source Software, 2(16), 352, JOSS DOI doi:10.21105/joss.00352



Installation
from pypi website:
pip install sequana_pipetools
No dependencies for this package except Python itself. In practice, this package
has no interest if not used within a Sequana pipeline. It is installed automatically when you install
a Sequana pipelines. For example:
pip install sequana_rnaseq
pip install sequana_fastqc
See Sequana for a list of pipelines ready for production.


Targetted audience
This package is intended for Sequana developers seeking to integrate Snakemake pipelines into the Sequana project. Please refer below for more information. Additionally, note that as a developer, you can generate the reference documentation using Sphinx:
make html
browse build/html/index.html


What is sequana_pipetools ?
sequana_pipetools is a collection of tools designed to facilitate the management of Sequana pipelines, which includes next-generation sequencing (NGS) pipelines like RNA-seq, variant calling, ChIP-seq, and others.
The aim of this package is to streamline the deployment of Sequana pipelines by
creating a pure Python library that includes commonly used tools for various pipelines.
Previously, the Sequana framework incorporated all bioinformatics, Snakemake rules,
pipelines, and pipeline management tools into a single library (Sequana) as illustrated
in Fig 1 below.



Figure 1 Old Sequana framework will all pipelines and Sequana library in the same
place including pipetools (this library).


Despite maintaining an 80% test coverage, whenever changes were introduced to the Sequana library, a comprehensive examination of the entire library was imperative. The complexity escalated further when incorporating new pipelines or dependencies. To address this challenge, we initially designed all pipelines to operate independently, as depicted in Fig. 2. This approach allowed modifications to pipelines without necessitating updates to Sequana and vice versa, resulting in a significant improvement.



Figure 2 v0.8 of Sequana moved the Snakemake pipelines in independent
repositories. A cookie cutter
ease the creation of such pipelines


Nevertheless, certain tools, including those utilized for user interface and input data sanity checks, were essential for all pipelines, as illustrated by the pipetools box in the figure. With the continuous addition of new pipelines each month, our goal was to enhance the modularity of both the pipelines and Sequana. As a result, we developed a pure Python library named sequana_pipetools, depicted in Fig. 3, to further empower the autonomy of the pipelines.



Figure 3 New Sequana framework. The new Sequana framework comprises the core library
and bioinformatics tools, which are now separate from the pipelines. Moreover, the
sequana_pipetools library provides essential tools for the creation and management
of all pipelines, including a shared parser for options


As a final step, we separated the rules originally available in Sequana to create an independent package featuring a collection of Snakemake wrappers. These wrappers can be accessed at https://github.com/sequana/sequana-wrappers and offer the added benefit of being rigorously tested through continuous integration.



Figure 3 New Sequana framework 2021. The library itself with the core, the
bioinformatics tools is now fully independent of the pipelines.




Quick tour of the standalone
The sequana_pipetools package provide a standalone called sequana_pipetools. Here is a snapshot of the user interface:



There are several applications. The first one is for Linux users under
bash to obtain completion of a sequana pipeline command line arguments:
sequana_pipetools --completion fastqc
The second is used to introspect slurm files to get a summary of the SLURM log
files:
sequana_pipetools --slurm-diag
It searches for files with pattern slurm in the current directory and slurm files in the ./logs directory.
This is used within th pipeline but can be used manually as well and is useful to get a quick summary of common errors found in slurm files.
The following command provides statistics about Sequana pipelines installed on your system (number of rules, wrappers
used):
sequana_pipetools --stats
And for developpers, a quick creation of schema file given a config file (experimental, developers would still need to edit the schema but it does 90% of the job):
sequana_pipetools --config-to-schema config.yaml > schema.yaml
You can also convert the dot file into a nice PNG file using:
sequana_pipetools --dot2png dag.dot


For Sequana developers
The library is intended to help Sequana developers to design their pipelines.
See the Sequana organization repository for examples.
In addition to the standalone shown above, sequana_pipetools main goal is to provide utilities to help Sequana developers.
First, let us create a pipeline

Initiate a project (Sequana pipeline) with cookiecutter
You can start a Sequana pipeline skeleton as follows:
pip install cookiecuter
cookiecutter https://github.com/sequana/sequana_pipeline_template -o . --overwrite-if-exists
and then follow the instructions. You will be asked some questions such as the name of your pipeline (eg. variant), a description, keywords and the project_slug (just press enter).


Update the main script
Go to sequana_pipelines/NAME and look at the main.py script.
We currently provide a set of Options classes that should be used to
design the API of your pipelines. For example, the
sequana_pipetools.options.SlurmOptions can be used as follows inside a standard
Python module (the last two lines is where the magic happens):
import rich_click as click
from sequana_pipetools.options import *
from sequana_pipetools import SequanaManager

NAME = "fastqc"
help = init_click(NAME, groups={
"Pipeline Specific": [
"--method", "--skip-multiqc"],
}
)

@click.command(context_settings=help)
@include_options_from(ClickSnakemakeOptions, working_directory=NAME)
@include_options_from(ClickSlurmOptions)
@include_options_from(ClickInputOptions, add_input_readtag=False)
@include_options_from(ClickGeneralOptions)
@click.option("--method", default="fastqc", type=click.Choice(["fastqc", "falco"]), help="your msg")
def main(**options):

# the real stuff is here
manager = SequanaManager(options, NAME)
manager.setup()

# just two aliases
options = manager.options
cfg = manager.config.config


# fills input_data, input_directory, input_readtag
manager.fill_data_options()

# fill specific options.
# create a function for a given option (here --method)
def fill_method():
# any extra sanity checks
cfg["method"] = options["method"]

if options["from-project"]:
# in --from-project, we fill the method is --method is provided only (since already pre-filled)
if "--method" in sys.argv
fill_method()
else:
# in normal, we always want to fill the user-provided option
fill_method()

# finalise the command and save it; copy the snakemake. update the config
# file and save it.
manager.teardown()

if __name__ == "__main__":
main()
Developers should look at e.g. module sequana_pipetools.options
for the API reference and one of the official sequana pipeline (e.g.,
https://github.com/sequana/sequana_variant_calling) to get help from examples.
The Options classes provided can be used and combined to design pipelines.


How to use sequana pipetools within your Pipeline
For FastQ files (paired ot not), The config file should look like:
sequana_wrappers: "v0.15.1"

input_directory: "."
input_readtag: "_R[12]_"
input_pattern: "*fastq.gz"


apptainers:
fastqc: "https://zenodo.org/record/7923780/files/fastqc_0.12.1.img"

section1:
key1: value1
key2: value2
And your pipeline could make use of this as follows:
configfile: "config.yaml"

from sequana_pipetools import PipelineManager
manager = PipelineManager("fastqc", config)

# you can then figure out wheter it is paired or not:
manager.paired

# get the wrapper version to be used within a rule:
manager.wrappers

# the raw data (with a wild card) for the first rule
manager.getrawdata()

# add a Makefile to clean things at the end
manager.teardown()


Setting up and Running Sequana pipelines
When you execute a sequana pipeline, e.g.:
sequana_fastqc --input-directory data
a working directory is created (with the name of the pipeline; here fastqc). Moreover, the working directory
contains a shell script that will hide the snakemake command. This snakemake command with make use
of the sequana wrappers and will use the official sequana github repository by default
(https://github.com/sequana/sequana-wrappers). This may be overwritten. For instance, you may use a local clone. To do
so, you will need to create an environment variable:
export SEQUANA_WRAPPERS="git+file:///home/user/github/sequana-wrappers"
If you decide to use singularity/apptainer, one common error on a cluster is that non-standard paths are not found. You can bind them using the -B option but a more general set up is to create this environment variable:
export SINGULARITY_BINDPATH="/path_to_bind"
for Apptainer setup
export APPTAINER_BINDPATH="/path_to_bind"



What is Sequana ?
Sequana is a versatile tool that provides

A Python library dedicated to NGS analysis (e.g., tools to visualise standard NGS formats).
A set of Pipelines dedicated to NGS in the form of Snakefiles
(Makefile-like with Python syntax based on snakemake framework) with more
common wrappers.
Standalone applications such as sequana_coverage and sequana_taxonomy.

See the sequana home page for details.
To join the project, please let us know on github.


Changelog


Version
Description



1.0.5

introspect slurm files to extract stats



1.0.4

add utility function to download and untar a tar.gz file



1.0.3

add levenshtein function. some typo corrections.



1.0.2

add the dot2png command. pin docutils <0.21 due to pip error



1.0.1

hot fix in the profile creation (regression)



1.0.0

Stable release



0.17.3

remove useless code and fix a requirement



0.17.2

simpler logging



0.17.1

remove the –use-singulariry (replaced by –use-apptainer in
previous release)
slight updates on logging and slight update on slurm module



0.17.0

Remove deprecated options and deprecated functions. More tests.



0.16.9

Fix slurm sys exit (replaced by print)
upadte doc
more tests



0.16.8

stats command add the number of rules per pipeline
better slurm parsing using profile tree directory (slurm in logs/)



0.16.7

add missing –trimming-quality option in list of TrimmingOption
set default to cutadatp if no fastp available
better UI for the completion script.



0.16.6

Set default value for the option trimming to 20
Fix issue https://github.com/sequana/sequana_pipetools/issues/85



0.16.5

merge completion standalone into main sequana_pipetools application
add application to create schema given a config file
add application to get basic stats about the pipelines
add precommit and applied black/isort on all files
remove some useless code
update completion to use click instead of argparse
Rename Module into Pipeline (remove rules so Module are only made
of pipelines hence the renaming)



0.16.4

fix Trimming options (click) for the quality option



0.16.3

add class to handle multiplex entry for click.option (useful for
multitax multiple databases)



0.16.2

remove useless function get_pipeline_location, get_package_location
guess_scheduler from sequana_manager (not used)
store sequana version correctly in info.txt Fixing #89
sort click options alphabetically
–from-project not funtcional (example in multitax pipeline)
Click checks that input-directoyr is a directory indeed



0.16.1

Fix/rename error_report into onerror to be included in the Snakemake
onerror section. added slurm in slurm output log file in the
profile



0.16.0

scripts now use click instead of argparse
All Options classes have now an equivalent using click.
For example GeneralOptions has a class ClickGeneralOptions.
The GeneralOptions is kept for now for back compatibility
–run-mode removed and replaced by –profile options. Profiles are
used and stored withub .sequana/profiles
Remove –slurm-cores-per-job redundant with resources from snakemake
Way a main.py is coded fully refactored and simplified as described
in the README
cluster_config are now deprecated in favor of profile
sequana_slurm_status removed. Use manager.error_report in pipelines
instead



0.15.0

remove useless code (readme, description) related to old rules
requirements.txt renamed in tools.txt to store the required tools to
run a pipeline.
remove copy_requirements, not used in any pipelines (replaced by code
in main.py of the pipelines)
a utility function called getmetadata that returns dictionary
with name, version, wrappers version)



0.14.X

Module now returns the list of requirements. SequanaManager
creates a txt file with all standalones from the requirements.



0.13.0

switch to pyproject and fixes #64



0.12.X

automatically populater wrappers in PipelineManager based on the
config entry sequana_wrappers.
Fix the singularity arguments by (i) adding -e and (ii) bind the
/home. Indeed, snakemake sets –home to the current directory.
Somehow the /home is lost. Removed deprecated function
factorise hash function to have url2hash easily accessible
remove harcoded bind path for apptainer. Uses env variable instead



0.11.X

fix regression, add codacy badge, applied black, remove
init_pipeline deprecated function.



0.10.X

Fixes https://github.com/sequana/sequana_pipetools/issues/49
that properly sets the apptainer prefix in defualt mode



0.9.X

replaced singularity word by apptainer (–use-aptainer instead of
–use-singularity)
add config2schema utility function for developers
Ability to download automatically singularity images (as URLs) if
set in the pipelines (container field). add the –use-singularity
option in all pipelines (and –singualrity-prefix)



0.9.0

MAJOR update/Aug 2022
new mechanism to handle profile for Snakemake that will replace the
cluster_config.yaml files
Major cleanup of PipelineManager (PipelineManagerGeneric was
removed). The way input files are handled was also cleanup.
Fixes https://github.com/sequana/sequana_pipetools/issues/37
and also files starting with common prefixes



0.8.X

Better schema validation. switch from distutils to packaging



0.7.X

simplify the setup() method in pipeline manager
can set a SEQUANA_WRAPPERS env variable to use local wrappers
add schema pipeline manager directory & fix attrdict error with yaml
Set the –wrapper-prefix to point to the sequana-wrappers github



0.6.X

Fix SequanaConfig file to include wrapper
and take new snakemake syntax into account. update schema handling
Move all modules related to pipelines from sequana into
sequana_pipetools



0.5.X

feature removed in sequana to deal with adapter removal and
changes updated in the package (removed the design option
from the cutadapt rules and needed); add TrimmingOptions.



0.4.X

add FeatureCounts options and slurm status utility



0.4.0

stable version



0.3.X

first stable release



0.2.X

completion can now handle multiple directories/files properly
better doc and more tests; add –from-project option to import
existing config file; remove –paired-data option; add content
from sequana.pipeline_common



0.1.X

software creation